Transformation Strategist
About the job
- Typically 3–5 years of core, client-facing consulting experience, operating from Consultant/Associate through Project Leader/Engagement Manager level at McKinsey, BCG or Bain.
- Ability to structure unfamiliar problems, identify critical questions and make clear recommendations.
- Comfort working with messy data and incomplete information, and producing concise, numerate, decision-ready analyses and slides.
- Ability to run a reliable customer cadence, follow through on actions, identify what is not working and help fix it.
- Ability to listen, ask direct questions and communicate clearly with people at different organizational levels, and to seek help when needed.
- Ability to work effectively in an early-stage environment without a large team or polished playbook; serious use of AI in one's work, clear writing and responsibility for customer-facing work quality.
- Must live in the UK or relocate there before starting, and be able to travel to client sites from the UK.
- Own the fact base for workstreams by investigating processes through interviews, data, handoffs, exceptions and workarounds, and identify where cost, cash, service, cycle time or control is being lost.
- Turn findings into analyses, decision documents and slides that clarify choices, baselines, assumptions and evidence.
- Work with the Senior Transformation Strategist to turn diagnostics into practical roadmaps covering priorities, agent decisions, controls and ownership.
- Run weekly operating cadence with customer teams by preparing working sessions, maintaining actions and decisions, following through on commitments and surfacing blockers early.
- Clarify new processes for users and work alongside Forward Deployed Engineers to align business needs, technical delivery and customer adoption during live operation.
- Help establish baselines, targets and measurement windows before implementation; track progress, investigate misses and produce trustworthy evidence of impact.
- Own customer relationships at the working level and provide analysis, materials and follow-through to support senior stakeholder conversations.
- Help make the company's playbook more reusable through improved templates, diagnostics, measurement methods or delivery habits.
- Experience at an early-stage company, through a role, internship, founding project or close work with a startup.
- Experience in retail, consumer packaged goods, supply chain, logistics, inventory or finance operations.
About Duvo
Before Duvo, our founders built and ran a $2 billion retailer. They saw how much critical work still depended on spreadsheets, inboxes, supplier portals and the memory of experienced operators. The real process rarely lived in one system. People held the last mile together.
Duvo is building the Enterprise Execution OS: the shared layer that understands how work really runs, carries it across existing systems and measures the business result.
Our agents do the work, not just suggest the next step. They gather evidence, make decisions within agreed rules, route exceptions to the right person and update the source system. People keep control wherever judgment or approval is needed. Every action leaves an audit trail.
We start with one recurring process and a clear outcome.
The role
As a Transformation Strategist, you will own the day-to-day momentum of an enterprise transformation.
You will partner with a Senior Transformation Strategist and Forward Deployed Engineers on a small number of live enterprise accounts. You will be the person who is consistently present with the customer: close to how work happens, accountable for the workstream cadence and able to turn a senior steer into analysis, decisions, materials and change that move the work forward.
The Senior Transformation Strategist owns the executive relationship, overall transformation direction and commercial outcome. You own the operating rhythm and quality of execution, escalating early when a senior decision or intervention is required.
This is a hands-on consulting role for someone early enough in their career to enjoy getting deep into the work, but strong enough to earn trust in a customer room. We are particularly interested in people currently operating from Consultant/Associate through Project Leader/Engagement Manager level at McKinsey, BCG or Bain, typically with around 3–5 years of client-facing consulting experience. You do not need prior operator experience.
What you will do
1. Own the workstream fact base
Get close to the process: interviews, data, handoffs, exceptions and the workarounds people use to keep things running. Build a fact base that shows where cost, cash, service, cycle time or control is being lost.
Turn that work into sharp analyses, decision documents and slides that make the important choices obvious. Be exact about the baseline, assumptions and evidence; do not use presentation polish to hide uncertainty. The materials are a means to a decision and an action, not the output in themselves.
2. Run the day-to-day delivery rhythm
Work with the Senior Transformation Strategist to turn a diagnostic into a practical roadmap: what starts now, what waits, which decisions an agent can make, which controls stay and who needs to own each step.
Run the weekly operating cadence with customer teams: prepare working sessions, maintain actions and decisions, follow commitments through and surface blockers early. Make sure the new process is clear enough for people to use. Work side by side with Forward Deployed Engineers as the solution moves into the live operation, keeping business needs, technical delivery and customer adoption joined up.
3. Build the evidence for impact
Help lock the baseline, target and measurement window before implementation. Track progress, investigate misses and turn the result into evidence a CFO and an operating team can trust.
You will not be asked to own commercial negotiations or the most senior stakeholder relationship alone. You will be expected to build the analysis, materials and follow-through that make those conversations productive—and to own relationships with the customer team at the working level.
Who we are looking for
We are looking for a capable, client-facing consultant who wants to do more than recommend a change. We will assess five things:
Strong consulting foundations. You are currently operating from Consultant/Associate through Project Leader/Engagement Manager level at McKinsey, BCG or Bain, typically with around 3–5 years of core, client-facing consulting experience. You can structure an unfamiliar problem, find the critical question and make a clear recommendation.
Excellent analytical and communication craft. You are comfortable working from messy data and incomplete information. You build analyses and slides that are concise, numerate and decision-ready.
Bias for delivery and ownership. You want to stay close to the work after the deck is finished. You can run a reliable customer cadence, follow through on actions, notice what is not working and help fix it.
Customer judgment. You can listen well, ask a direct question and communicate clearly with people at different levels of an organisation. You know when to ask for help rather than bluff.
Early-stage working style. You work well without a large team or a polished playbook. You use AI seriously in your own work, write clearly and take responsibility for the quality of what you put in front of a customer.
Early-stage company experience is helpful, whether through a role, internship, founding project or close work with a startup. It is not required. Experience in retail, CPG, supply chain, logistics, inventory or finance operations is also helpful, but not required.
What good looks like after 12 months
You are the trusted day-to-day owner of defined workstreams across several enterprise accounts, with a clear view of each account’s transformation hypothesis, evidence base, risks and next decision.
Your analyses and customer materials help teams make better decisions quickly, and your cadence means commitments do not disappear between meetings.
You have helped take at least one process from diagnosis through live delivery, with a measured view of whether it is working.
You have made Duvo’s playbook more reusable through better templates, diagnostics, measurement methods or delivery habits.
This role is not for you if
You only enjoy the framing phase and lose interest once the work becomes detailed.
You need perfectly clean data, a large analyst team or complete instructions before you can make progress.
You see slides as the final product rather than a tool to help a customer make and execute a decision.
You want only internal analysis work and do not want visible, day-to-day accountability with a customer team.
You prefer to stay far from the day-to-day work of the people whose process is changing.
You want a narrow role with little customer exposure or visible accountability.
How we work
Own it. The bar is not “I flagged it.” It is “I moved it forward.” An 80% fix today often beats a perfect answer next week.
Stay close to the customer. Know their real day better than the process document. If they ask us to automate something broken, show them a better way.
Prove it and say it straight. Measure before you propose. Share bad news when you have it. Strong opinions are welcome; defending them after the evidence changes is not.
Use AI and work in public. We use AI on our own work and remain responsible for the output. We write things down in English so someone who missed the meeting can still follow.
Bring intensity and judgment. A good answer can still lose if it arrives too late. The pace is high because the team is small and the customer work is live. Commitment comes from the work, not monitoring or guilt.
Location and travel
This role is UK-based. You'll need to be living in the UK, or relocating there before you start, and able to travel to client sites from there. Expect regular travel and periods of working on site with customers for several days in a week.
What we offer
Competitive compensation and meaningful equity, with flexibility in the balance between cash and ownership.
Direct access to founders, customers and decisions.
The budget and autonomy to use the best AI tools available.
A product already producing measured results in live enterprise operations.
The chance to build a career at the intersection of consulting, operations and AI-led transformation.
How we hire
Screening call.
Competency interview. A detailed look at how you structured a difficult problem, worked with a client team and drove the work forward.
Live case. An enterprise problem that tests structure, numbers, prioritisation and clear communication.
Founder conversation. A candid discussion about the role, Duvo and whether this is the environment for you.
We move quickly and give direct feedback throughout.
About the company
Duvo provides an AI-native process automation platform for large enterprises that serves as an enterprise execution OS to map, run, and improve business operations. It combines process discovery (Clarity) with self-learning AI agents that execute approved processes across existing systems (CRMs, ERPs, communication tools, and legacy platforms) without IT setup. Agents adapt to changing systems, with human-in-the-loop approval gates and audit logs, and its offerings include freight and payables audits, OTIF recovery, inventory, payment control, supplier onboarding, and SAP migration bases. It targets industries like manufacturing, retail, CPG, healthcare, finance, and telecom; enterprise pricing with a 5x ROI guarantee and certifications (SOC 2 Type II, ISO 27001, ISO 42001) to enable scalable automation that maps, runs, and improves complex business processes with measurable ROI.
Company Size
1-10
Company Stage
Series A
Total Funding
$47M
Headquarters
Prague, Czechia
Founded
2025
Get referred to Duvo
See people who can refer or advise you
Simplify's Take
What believers are saying
- Duvo closed a $15 million seed round led by Index Ventures in late 2025.
- As of September 14, 2026, Duvo claims SOC 2 Type II, ISO 27001, and NIS2 alignment.
- Retail and FMCG buyers value its reported 88% cost cuts and 82% faster cycles.
What critics are saying
- Deloitte becomes a gatekeeper; channel conflict and margin pressure hit Duvo by 2027.
- UiPath, Microsoft Power Platform, and Automation Anywhere already own enterprise automation budgets today.
- If live agents break on ERP changes, retailers retreat to safer RPA and BPO deals.
What makes Duvo unique
- Duvo pairs retail-specific agents with Deloitte delivery across Europe, launched June 16, 2026.
- Its Clarity product at EuroShop 2026 turns process evidence into catalogues and automation briefs.
- Duvo supports SAP, supplier portals, spreadsheets, email, and legacy systems without custom middleware.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Company Equity
- Remote Work Options
Company News
Duvo raises $32 million Series A to become the one platform enterprises run their operations on. Oct 14, 2026, 09:00 ET Led by Balderton Capital, the round funds Duvo's U.S. expansion. Its Enterprise Execution OS lets people and AI agents run processes together across the systems a company already has, starting with retail and consumer goods. NEW YORK and LONDON, Oct. 14, 2026 /PRNewswire/ - Duvo today announced a $32 million Series A led by Balderton Capital, with participation from existing investors Index Ventures, Northzone and Credo Ventures. The round brings Duvo's total funding to $48 million and will fund its expansion, starting with retailers and CPG companies. Two executives lead the expansion. Michael Green joins from Databricks as Chief Commercial Officer. He previously served as a Senior Vice President at Salesforce. Spencer Insolia recently joined as Managing Director, U.S. He was previously President of Kmart and a Managing Director at Accenture. Duvo is the Enterprise Execution OS: one platform where a company's operations run, with governed processes and clear user approvals. Duvo is built so that AI in operations doesn't stop at the pilot. Every process a company adds runs on the same connections, the same approval rules and the same record of results, instead of becoming another standalone project. The platform works the same way for every process. Duvo Clarity captures how the work really runs, through AI-led discovery interviews with the people who do it, screen recordings and existing documents. Duvo's agents then run the approved steps across ERPs, supplier portals, spreadsheets and inboxes, through APIs where they exist and through the same screens people use where they don't. That's why Duvo can be live in weeks with the first process without a small army of engineers or a major systems integration project. Decisions and exceptions go to the person who owns them, and operating cockpits show what is waiting for a decision and what the process delivered. Most companies run on systems that don't talk to each other, and the manual work in those gaps is where value leaks. Duvo runs that work on one platform and recovers the value. Gartner projects spending on business orchestration and automation technologies will exceed $21 billion by 2029, as enterprises consolidate fragmented automation tools onto a single platform. But turning that into operational results is proving hard. Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027 because of escalating costs, unclear business value or inadequate risk controls. In a separate survey of 350 executives at companies with $1 billion or more in revenue, Gartner found that those reporting higher returns from AI agents and automation had cut staff about as often as those with modest or negative results. "For a while I measured AI in heads, counting how many people an agent could replace. It's the wrong unit," said Tomáš Čupr, co-founder and CEO of Duvo and founder and Group CEO of Rohlik Group. "At Rohlik, the gains I'd point to came from work nobody had the hours for. Our planners used to check about eight at-risk products a day per market for shortages. Now every signal gets checked, around the clock. We think of it as raising the GDP of every employee: more value from the people a company has, not the same value from fewer of them." Duvo has unlocked over $100m+ for its clients, across finance, supply chain, commercial, customer care, marketing and HR. At Notino, Europe's largest online beauty retailer, those results span finance, customer care and marketing. Its quarterly reconciliation of about $45 million a year in supplier bonuses went from 70 days to 15, and from around 120 specialist hours per cycle to under 10. "Our business processes have evolved over decades, and Duvo gives us a way to understand them in detail, and quickly," said Gordon MacPherson, Group Productivity Director at U.K. supermarket chain Morrisons. "It means decisions about which repetitive everyday tasks to simplify, redesign and automate can be based on evidence rather than assumptions. That gives us a much clearer path from identifying AI opportunities to putting them into operation, freeing up our people to concentrate on high-value work for the benefit of colleagues and customers." "Getting AI agents to work reliably across the enterprise remains incredibly difficult," said Rob Moffat, Partner at Balderton Capital. "Duvo's unique ability is in how it uses AI to capture how work actually happens in the enterprise and what the causes of loss are. Duvo then automates these processes in the same integrated system. This is only possible with the deep operational experience of the founder Tomáš who previously founded three companies including Rohlik, the leading online grocer. Feedback from customers and consultancy partners is off the charts positive. We are looking forward to supporting Tomáš and team as they build the global leader in this segment." Duvo is model-agnostic, so the AI underneath can change without rebuilding the processes on top of it. Companies with stricter security or sovereignty requirements can run open-weight models on dedicated GPUs, connect a model in their own cloud or on-premises, or use an AI endpoint they already approve. Every approval and every change written back to a company's systems is recorded. Duvo is SOC 2 Type II, ISO 27001 and ISO 42001 certified, and U.S. companies can buy it through Microsoft's Azure Marketplace. "Our clients don't need more AI pilots. They need operations that actually change," said Jan Hejtmánek, Partner and AI Institute Leader at Deloitte Central Europe. "Through our alliance with Duvo, we combine Deloitte's transformation expertise with an Enterprise Execution OS that maps how processes really work and then runs them, with people in control." "I've spent half my career as a retail operator and half as a consultant, and the same gap showed up from both sides: the insight was there, the execution rarely followed. Duvo closes that gap, and that's why I'm here," said Spencer Insolia, Managing Director, U.S. at Duvo. "We're starting in the U.S. with retailers and consumer goods companies, because that's the work we know best," said Čupr. "But the processes we start with, like freight and invoice audit, aren't unique to retail." Christoph Schwaiger, former CEO at ALDI SÜD Holding, has also joined as Senior Advisor. U.S. companies can start with one process, such as freight audit or payables audit, or with a free process map. About Duvo Duvo is the Enterprise Execution OS: one platform where a company's people and AI agents run its operations, process by process. Duvo captures how work actually happens, runs it across the ERPs, supplier portals and legacy applications a company already uses, and shows every team what it delivered, with people approving the decisions that need judgment. Its mission is raising the GDP of every employee. Founded in 2025 by the team behind Rohlik Group, Duvo has almost 60 employees and works with companies including Morrisons, Holland & Barrett, Boden, Notino and Allegro, and is backed by Balderton Capital, Index Ventures, Northzone and Credo Ventures. Learn more at duvo.ai. About Balderton Capital Balderton Capital is a multistage venture firm with more than 25 years of experience supporting Europe's best founders from Seed to IPO. We have both early and growth funds and invest across the technology sector, with a proven track record backing AI, fintech, B2B SaaS, digital health, mobility, gaming and marketplace companies. Previous investments include Darktrace, Depop, Dream Games, Flywire, Kobalt, MySQL, Nutmeg, Peakon, Recorded Future, Talend and THG. Balderton's current portfolio includes: Aircall, Contentful, Cleo, Fuse, GoCardless (Mollie), Lendable, Matillion, Photoroom, Primer, Proxima Fusion, Quantum Systems, Revolut, The Exploration Company, Tibber, Wayve, Writer and ZOE. https://www.balderton.com/. SOURCE Duvo
Duvo, an AI automation platform founded by Rohlik chief executive officer Tomáš Čupr, has raised a $32 million Series A led by Balderton Capital. Existing investors Index Ventures, Northzone, and Credo Ventures also joined, bringing total funding to $48 million. The money will fund expansion, starting with retailers and consumer goods companies in the US. Duvo hired Michael Green from Databricks as senior vice president of go-to-market, and Spencer Insolia, a former Kmart president, as US managing director. Duvo says it has unlocked over $100 million for clients. At Notino, a European online beauty retailer, a quarterly supplier bonus reconciliation fell from 70 days to 15. Čupr says the aim is to raise "the GDP of every employee" rather than replace staff.
Duvo raises $32 million Series A to become the one platform enterprises run their operations on. Duvo raises a $32M Series A led by Balderton Capital, with Index Ventures, Northzone and Credo Ventures, to fund its global expansion. Key takeaways. * Duvo has raised a $32 million Series A led by Balderton Capital, with participation from Index Ventures, Northzone and Credo Ventures. Total funding is now $48 million. * The round funds Duvo's global expansion, starting with retailers and consumer goods companies. Michael Green (Chief Commercial Officer, from Databricks) and Spencer Insolia (Managing Director, U.S., former President of Kmart) lead it. * Duvo is the Enterprise Execution OS: people and AI agents run governed processes together across the systems a company already has, and the first process can be live in weeks. * Duvo has already unlocked over $100M in annualised impact for its clients. * Watch the Series A announcement video NEW YORK and LONDON, Oct. 14, 2026 - Duvo today announced a $32 million Series A led by Balderton Capital, with participation from existing investors Index Ventures, Northzone and Credo Ventures. The round brings Duvo's total funding to $48 million and will fund its global expansion, starting with retailers and CPG companies. Two executives lead the expansion. Michael Green joins from Databricks as Chief Commercial Officer. He previously served as a Senior Vice President at Salesforce. Spencer Insolia recently joined as Managing Director, U.S. He was previously President of Kmart and a Managing Director at Accenture. Duvo is the Enterprise Execution OS: one platform where a company's operations run, with governed processes and clear user approvals. Duvo is built so that AI in operations doesn't stop at the pilot. Every process a company adds runs on the same connections, the same approval rules and the same record of results, instead of becoming another standalone project. The platform works the same way for every process. Duvo Clarity captures how the work really runs, through AI-led discovery interviews with the people who do it, screen recordings and existing documents. Duvo's agents then run the approved steps across ERPs, supplier portals, spreadsheets and inboxes, through APIs where they exist and through the same screens people use where they don't. That's why Duvo can be live in weeks with the first process without a small army of engineers or a major systems integration project. Decisions and exceptions go to the person who owns them, and operating cockpits show what is waiting for a decision and what the process delivered. Most companies run on systems that don't talk to each other, and the manual work in those gaps is where value leaks. Duvo runs that work on one platform and recovers the value. Gartner projects spending on business orchestration and automation technologies will exceed $21 billion by 2029, as enterprises consolidate fragmented automation tools onto a single platform. But turning that into operational results is proving hard. Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027 because of escalating costs, unclear business value or inadequate risk controls. In a separate survey of 350 executives at companies with $1 billion or more in revenue, Gartner found that those reporting higher returns from AI agents and automation had cut staff about as often as those with modest or negative results. Duvo has unlocked $100M+ for its clients, across finance, supply chain, commercial, customer care, marketing and HR. At Notino, Europe's largest online beauty retailer, those results span finance, customer care and marketing. Its quarterly reconciliation of tens of millions of dollars a year in supplier bonuses went from 70 days to 15, and from around 120 specialist hours per cycle to under 10. Duvo is model-agnostic, so the AI underneath can change without rebuilding the processes on top of it. Companies with stricter security or sovereignty requirements can run open-weight models on dedicated GPUs, connect a model in their own cloud or on-premises, or use an AI endpoint they already approve. Every approval and every change written back to a company's systems is recorded. Duvo is SOC 2 Type II, ISO 27001 and ISO 42001 certified, and U.S. companies can buy it through Microsoft's Azure Marketplace. Christoph Schwaiger, former CEO at ALDI SÜD Holding, has also joined as Senior Advisor. About duvo. Duvo is the Enterprise Execution OS: one platform where a company's people and AI agents run its operations, process by process. Duvo captures how work actually happens, runs it across the ERPs, supplier portals and legacy applications a company already uses, and shows every team what it delivered, with people approving the decisions that need judgment. Its mission is raising the GDP of every employee. Founded in 2025 by the team behind Rohlik Group, Duvo has almost 60 employees and works with companies including Morrisons, Holland & Barrett, Boden, Notino and Allegro, and is backed by Balderton Capital, Index Ventures, Northzone and Credo Ventures. Learn more at duvo.ai. About Balderton Capital. Balderton Capital is a multistage venture firm with more than 25 years of experience supporting Europe's best founders from Seed to IPO. Duvo has both early and growth funds and invest across the technology sector, with a proven track record backing AI, fintech, B2B SaaS, digital health, mobility, gaming and marketplace companies. Previous investments include Darktrace (LON: DARK), Depop, Dream Games, Flywire (NASDAQ: FLYW), Kobalt, MySQL, Nutmeg, Peakon, Recorded Future, Talend (NASDAQ: TLND) and THG (LON: THG). Balderton's current portfolio includes: Aircall, Contentful, Cleo, Fuse, GoCardless (Mollie), Lendable, Matillion, Photoroom, Primer, Proxima Fusion, Quantum Systems, Revolut, The Exploration Company, Tibber, Wayve, Writer and ZOE. balderton.com Media contact. * Press in the U.S.: BAM, [email protected] * Press in Europe: Burlington, Sayula Kirby, [email protected]
Today, Duvo and Deloitte are announcing a Europe-wide partnership for the delivery of agentic automation programmes. Key takeaways. * Duvo and Deloitte have launched a Europe-wide partnership to deliver agentic automation programmes to enterprise customers. * The partnership bridges the gap between software capability and production-grade delivery inside complex, regulated organisations. * This combined model pairs Duvo's AI platform with Deloitte's deep delivery practice and is already live across multiple European markets. The delivery gap nobody priced in. For two decades, enterprise automation has been sold on capability. Faster processing. Fewer errors. Headcount you can redeploy. The pitch has always been about what the software can do. But capability was never the thing that failed. Delivery was. Every wave of automation has run into the same wall: workflow engines, BPM, RPA, and now agentic automation. The licence gets signed. The pilot demos beautifully. And then the real work begins, making it live inside a messy, regulated, decades-deep organisation. That is where the value quietly leaks away. Why the last mile is the hard mile. The reason is structural, not accidental. A platform is built to be general. An enterprise is specifically, stubbornly itself: legacy systems layered over legacy systems, process variation between business units, compliance constraints that differ by market, integration debt nobody fully documented. The distance between "the platform supports this" and "this is running in production, owned by a team, surviving the next system change" is the entire game, and it is almost never on the slide. The previous era leaned on sheer manual effort: automations hand-built and hand-maintained, brittle enough that a single change to an underlying screen or schema could break them. The software got bought. The delivery model didn't scale, and the maintenance tax ate the return. Plenty of programmes never earned back the cost of standing them up. Agentic automation raises the ceiling, and the stakes. Agents change the capability frontier. They reason, adapt to variation, and handle the ambiguity that broke rule-based scripts. The ceiling on what can be automated is suddenly much higher. But a higher ceiling does not close the delivery gap. It widens it. Putting autonomous systems into the core of a large organisation demands more rigour, not less: governance, auditability, human oversight, clean integration, real change management. The more capable the technology, the more disciplined the delivery has to be. Capability without a delivery model is just a more sophisticated way to stall. The model that actually works. If the problem is structural, the answer has to be structural too. Software alone breaks at delivery. Services alone produce impressive one-offs with no durable platform underneath them. The combination that holds is a platform engineered for production from the first line of code, paired with a delivery practice deep enough to operationalise it across large, complex organisations, at the pace those organisations actually need. That is the thinking behind its Europe-wide partnership with Deloitte for the delivery of agentic automation programmes. This is not a statement of intent. Duvo.ai is already in production together, on live customer engagements across multiple European markets. What that looks like in practice: the platform carries the autonomy, the integration surface, and the controls. The delivery practice carries the depth, the sector knowledge, and the reach to land it inside organisations where "go live" means clearing security, compliance, and a dozen stakeholders, then keeping it running long after launch day. Why the signal matters. A firm of Deloitte's calibre does not put its name behind technology that hasn't earned it. They evaluated the alternatives. They spoke with the customers already running it. They chose to build their delivery practice on its platform. For a leader weighing how to make agentic automation real, that is the part worth sitting with. The hard question was never whether the technology is impressive. It is whether anyone can deliver it into your environment and make it stick. This partnership exists because that question now has an answer. Duvo.ai is looking forward to the conversations. Speak to Duvo.ai to see how agentic automation can work in your environment. Frequently asked questions. Q: What does the Duvo and Deloitte partnership deliver? Duvo and Deloitte have partnered to deliver enterprise-grade agentic automation programmes across European markets, combining Duvo's AI platform with Deloitte's implementation expertise. Q: Why do enterprise automation projects often fail in production? Automation projects often stall due to structural delivery challenges like legacy system complexity, compliance constraints, and unmapped process variations, rather than limits in the software's capability. Q: How does agentic automation differ from traditional RPA? Agentic automation can reason, adapt to variation, and handle ambiguity without relying on the brittle, rule-based scripts and rigid workflows that traditional RPA requires. Q: What makes this automation delivery model different? This model pairs an AI platform engineered with production controls directly with a dedicated delivery practice designed to clear security, integration, and stakeholder requirements at scale. Q: When will the Duvo and Deloitte partnership be available for customers? The partnership is already fully operational and in production, with live customer engagements currently deployed across multiple European markets.
Duvo, a Prague, Czech Republic-based provider of an AI-native automation platform, raised $15M in Seed funding