Business Development Director Private Equity

Anthropic and OpenAI now sell implementation, not models. Within five weeks this summer, Anthropic and OpenAI each launched a business built around one idea: the model was never the hard part. Here is what that admission means if you do not have a Fortune 500 budget. On June 14, 2026, OpenAI announced a $150 million bet called the OpenAI Partner Network. Five weeks later, on July 15, Anthropic - alongside Blackstone and Hellman & Friedman - launched an entire standalone company called Ode with Anthropic. Different structures, different investors, same underlying admission from the two labs that make the world's leading AI models: the model was never the bottleneck. Getting it actually working inside a real business is. That is a remarkable thing for either company to say out loud, let alone both of them within the same month. It is also the clearest signal yet of where the money in enterprise AI is actually moving - and it has direct implications for any business that isn't large enough to hire what these two programs are built to sell. The announcements, in brief. Ode with Anthropic is a new enterprise AI services firm built on the team from Fractional AI, an applied-AI consultancy Anthropic acquired in May 2026. Its backers read like a sovereign wealth roll call: Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital. It's led by Fractional AI's co-founders - CEO Chris Taylor and CTO Eddie Siegel - and its pitch is that Claude alone doesn't transform a bank, hospital, or manufacturer; pairing Claude with dedicated human engineers who redesign the actual workflow does. As Taylor put it: "Our teams partner closely with CEOs to define and execute highest priority AI initiatives, driving transformation level impact." Anthropic's Garvan Doyle framed it as filling a gap Anthropic couldn't fill alone: "Ode was built to be that partner, adding to Anthropic's growing ecosystem helping enterprises put Claude to work." Baker Tilly signed on almost immediately, announcing a joint initiative with Ode to advance AI-enabled client service. The OpenAI Partner Network is structurally different but philosophically identical. It's a three-tier certification program - Select, Advanced, and Elite - with credential tracks in Codex, Cybersecurity, and AI Agents, plus a "Forward Deployed Experts" pilot for the hardest enterprise deployments. Founding and launch partners include Accenture, Bain, BCG, McKinsey, and PwC. OpenAI's stated goal is to train and certify 300,000 consultants by the end of 2026. The company's own framing of why the program exists is the most quotable part: "The limiting factor for seeing value from AI in the enterprise is no longer model capabilities" - the bottleneck now is use-case identification, workflow redesign, systems integration, and change management. Read that line again. It is worth sitting with what OpenAI just said in public, in its own announcement copy, about its own product. Not "our models got better." Not "here's our new benchmark score." The company that built GPT is telling the market that the thing it sells - model access - is no longer what determines whether an enterprise gets value from AI. What determines it is whether someone with real implementation experience sat down with the business, found the right use case, redesigned the workflow around it, and wired it into the existing systems without breaking anything. Anthropic, days apart, built an entire company on the same premise instead of just saying it. The line that matters "The limiting factor for seeing value from AI in the enterprise is no longer model capabilities." - OpenAI, announcing the Partner Network. Two of the best-funded AI labs on earth are now spending hundreds of millions of dollars on the belief that implementation, not intelligence, is what enterprise AI is short on. But look at who these are actually built for. Neither program was built with a 40-person business in mind, and neither pretends otherwise. Ode's backers are private equity and sovereign capital; its early public partnership is with Baker Tilly, a top-10 accounting and advisory firm. The OpenAI Partner Network's founding partners are Accenture, Bain, BCG, McKinsey, and PwC - five of the most expensive consultancies in the world, operating at day rates and minimum engagement sizes calibrated for Fortune 500 transformation budgets, not for a regional distributor or a 60-person clinic group. That's not a criticism of either program - they were designed to solve a real problem at the scale their backers operate at. But it does mean the actual mechanism both companies are betting on - a dedicated implementation partner who understands your workflows, redesigns them around AI, and integrates the result into your existing systems - is currently being delivered almost exclusively to companies large enough to sign a McKinsey-sized contract or a private-equity-backed services retainer. Everyone else is left with the model access, minus the part both labs just said actually matters. The principle is right. The packaging is wrong for most businesses. The underlying insight - that workflow redesign, systems integration, and hands-on implementation determine whether AI produces value, far more than which model sits underneath - is not an enterprise-only phenomenon. It is exactly as true for a 50-person logistics company as it is for a bank. A business that buys ChatGPT Enterprise seats or a Claude API key and hands them to staff with no redesigned workflow around them gets roughly the same disappointing result a Fortune 500 company would get doing the same thing - which is precisely the failure mode Ode and the Partner Network exist to prevent for their clients. The gap isn't the idea. It's that nobody built the SMB-scale version of it - a dedicated implementation partner, without the private-equity balance sheet, the Big 5 day rate, or the requirement that you route everything through one lab's proprietary platform. Realistic scenario A 55-person industrial equipment distributor gives its sales and service teams ChatGPT and Claude accounts after reading that AI "boosts productivity." Six months later, usage has flatlined to a handful of people using it to draft emails - because nobody redesigned how a quote gets built, how a service ticket gets triaged, or how parts inventory gets reconciled around what the models can actually do. The models were never the problem. There was no implementation partner translating capability into a rebuilt workflow - the exact gap Ode and the OpenAI Partner Network exist to close for companies fifty times this one's size. What to ask before you sign anything. Whether you're evaluating an enterprise-scale program or a smaller implementation partner, the same questions separate a real engagement from a licensing deal with a consulting label on it: * Does anyone actually redesign its workflow, or are Wizeb just getting access to a model and a training session? * Who owns the infrastructure and the data - Wizeb, or the platform Wizeb is integrating with? * Is pricing predictable, or does it scale unpredictably with usage the way per-seat and per-token consulting retainers often do? * Are Wizeb locked into one lab's ecosystem, or can the implementation move with Wizeb if its tooling changes? * Is there a dedicated person accountable for the outcome, or is this a certification badge on top of a self-service product? Where Wizot Agent Studio comes in. Wizot Agent Studio is Wizeb's answer to exactly this gap - the same principle Ode and the OpenAI Partner Network are built on, sized and priced for businesses that will never sign a Big 5 contract. It deploys custom AI agents on your own infrastructure, not inside a vendor's proprietary platform - your data never leaves your network, which matters as much for a healthcare group under HIPAA as it does for a bank under Ode. Pricing is a fixed retainer, not a per-token or per-seat charge that turns into a surprise bill the moment usage climbs. And critically, it comes with the part both labs just spent hundreds of millions of dollars proving matters most: dedicated implementation work - discovery, workflow redesign, and deployment tailored to how your business actually operates, not a generic chatbot dropped on top of it. Anthropic and OpenAI just told the market, in public, that the model was never the hard part. If you're running a business that's never going to be Ode's or McKinsey's next client, that doesn't mean the lesson doesn't apply to you - it means you need someone building the implementation layer at your scale instead of theirs. Get a free Wizot Agent Studio consultation Wizeb scopes and builds private, custom AI agents on your own infrastructure - fixed pricing, no vendor lock-in, no per-token surprises. Visit wizeb.com/wizot to talk through what an implementation partner actually looks like at your scale. Ready to act on this? Wizeb build exactly what this article is about. Tell Wizeb about your situation - Wizeb'll come back with a realistic assessment. More to read

Army MAPS, govcon proposals, and how contractors can compete. April 28, 2026 The U.S. Army's MAPS RFP, one of the largest federal opportunities of 2026, is officially out. It's both a significant opportunity for any government contractor interested in doing business with the Army, as well as an example of how the path to winning federal contract dollars is changing. At Deltek, Deltek help government contractors prepare, qualify, and compete for contract vehicles like MAPS with speed, clarity, and control, ensuring they meet gate criteria, maximize scorecard outcomes, and prove audit-ready execution. Below, Deltek'll share the latest about the Army MAPS contract, and what contractors should keep in mind to compete on vehicles like this in 2026. What is Army MAPS? MAPS is a consolidation of two major Army contracts (the ITES-3S and the RS3 contract vehicles, which are near to expiration) into one large-value contract vehicle. MAPS is divided into five Domains: * Technical * Management and Advisory * Research, Development, Testing and Evaluation (RDT&E) * Emerging IT * Foundational IT MAPS is a requirement for knowledge-based professional services for programs with Command, Control, Communication, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) related mission requirements. It has been delayed several times before the opportunity was released by SAM.gov on April 1. Of course, while the Army MAPS vehicle was released just this month, Deltek's team of expert analysts has been following this opportunity for much longer. The latest on the Army MAPS contract vehicle. Deltek partnered on this now on-demand webinar with Baker Tilly, a leading advisory, tax and assurance firm with a proven track record of serving government contractors nationwide. It's designed to break down the latest gate criteria, project qualifications, scorecards, and evaluation changes related to the Army MAPS contract. A review of the latest on Army MAPS. Make smart, informed pursuit decisions. The webinar shares detailed insights into the logistics and strategic considerations of this major procurement initiative, which include: Structured proposal preparation. GovCons will need to understand proposal volume requirements and critical components including screening questions - where errors could result in immediate disqualification - qualifying projects, and compliance considerations. They should approach proposal preparation with sharp attention to detail to optimize evaluation scores. Scope and domain alignment. MAPS encompasses cybersecurity, engineering, program management, and IT services within a streamlined procurement framework designed to facilitate agile Army acquisitions. This contract vehicle has a compressed submission timeline. Not only that, but proposals must also demonstrate clear alignment with one of five designated domains while complying with unique NAICS code requirements. Anyone interested in this contract should have a clear understanding of their own core capabilities and past performance records to domain-specific criteria. High value and multi-award structure. MAPS is a unique initiative designed to support the Army's digital transformation objectives, requiring tailored approaches distinct from previous procurement efforts. It features an IDIQ structure spanning 10 years with a $50 billion ceiling and substantial multi-award opportunities. Up to 70 awards are expected to be distributed per domain across various business categories, including large, emerging large, small, and commercial vendors. How contractors can compete. MAPS changes how contractors compete. It is not just about their capabilities; it is about proving readiness through gate criteria and a structured scorecard. Winning also depends on choosing the right domain where your capabilities and past performance align to scoring criteria. Most contractors will fail before scoring even begins. With Deltek you'll get help that makes it easier to qualify and compete by aligning your systems, financials, and compliance with MAPS requirements, or the requirements of other government contract types. You can move faster, see where you stand, and submit with confidence, all while knowing your data and processes will hold up under evaluation. Ready to learn more? Discover how its solutions help government contractors win, manage and deliver projects with confidence.