Most large companies do not lack agent demos. They lack a way to put agents into real work without breaking the rules their industry lives under. A bank can build a clever agent in a month. Getting that agent past security, compliance and audit, and into a process that moves money, is the part that eats the year.
Imagine Enterprise is IBM and Microsoft selling that second part as a platform. Announced on November 10, 2026, it is a joint offer for building, running and governing AI agents that carry out processes shaped for a specific industry. IBM Consulting brings the agents and the industry knowledge. Microsoft brings the ground they run on.
Imagine Enterprise
Official siteA joint agentic platform from IBM Consulting and Microsoft for building, running and governing AI agents that execute processes built for one industry. Primary use case: large and regulated organisations that want to start from a library of existing agents and assets, connect them to their own data and daily processes, and keep identity, security and compliance controls around the whole fleet from the start.
Key features: a starting library of more than 6,000 prebuilt agents and assets; industry frameworks that begin with financial services, insurance and retail; IBM tools for designing and governing tailored agents; Microsoft tools for coordinating agents and the systems they touch; and forward deployed engineers from both companies on qualifying engagements.
Advantages: the client starts from working parts instead of a blank page, the governance stack is named product by product rather than promised in general terms, and both vendors put engineers inside the client team for qualifying work. Limitations: the 6,000 figure counts agents and other assets together with no published split, no public price or general availability date appears in the launch material, and the one named client is described as exploring the technology rather than running this platform in production.
What it is, exactly
Strip the launch language and the shape is simple. Imagine Enterprise is a platform plus a services engagement, sold as one offer. The platform half holds the agents, the workflows and the controls. The services half is IBM Consulting, with Microsoft engineers beside it on qualifying engagements, doing the work of fitting those agents to one company and its rules.
IBM calls it a digital talent agency for the enterprise on its product page. That framing is worth taking seriously, because it states the actual claim. The pitch is not a smarter model. The pitch is a workforce: digital workers with defined skills and defined responsibilities, hired from a large existing bench, then governed the way a careful firm governs people who touch sensitive work.
That is also why this lands in Tools rather than News. The announcement is one day old, but the thing being sold is a working kit: a library, a set of design tools, a coordination layer and a security stack, with named products on both sides. What a buyer can test is not a claim about the future. It is whether the parts below fit the estate they already run.
Read the 6,000 number with care
The headline figure needs one correction before it does any work in a decision. The announcement says IBM Consulting brings more than 6,000 prebuilt AI agents and assets. Agents and assets, counted together. Neither company has published the split, so nobody outside the two firms knows how many of the 6,000 are agents that can run a process and how many are supporting assets such as templates, accelerators or components.
Read honestly, the number still means something real. IBM says the library was built on IBM Consulting Advantage, its AI powered delivery platform, from work its consultants have already done for clients. A buyer starts by adapting parts that exist, instead of paying to invent each agent from a blank file. That is a genuine head start, and it is the core of the first promise below.
Read carelessly, the number invites a picture the record does not support: 6,000 finished workers, ready to clock in on day one. The launch material does not say that, and the word assets is doing quiet work in the sentence. Treat the library as a deep bench of parts at different levels of readiness, and ask IBM for the split for your industry before the figure weighs on a signature.
A deep bench is only useful if you can find the right part in it. The library is the offer, and the split inside it is the question. Illustration: Dirty Static
Who brings what
The joint offer divides cleanly. IBM brings the industry layer and the delivery record. Microsoft brings the platform layer most large firms already license in some form.
| Side | What it brings, per the announcement and the IBM product page |
|---|---|
| IBM Consulting | More than 6,000 prebuilt agents and assets built on IBM Consulting Advantage; industry expertise; Process Studio, Context Studio and Advantage Core to design, deploy and govern tailored agents; the hands on record of building and running those agents |
| Microsoft | Foundry, GitHub Copilot and Copilot Studio to coordinate agents and enterprise systems; Fabric and Microsoft 365 infrastructure for data and daily work; Entra for identity; Purview for governance; Defender and Sentinel for security and visibility; Azure as the cloud foundation |
Two details in that table matter more than the rest. First, the IBM tools have jobs a buyer can picture. The IBM product page says Process Studio, Context Studio and the Agentic Core connect agents to a company and its unique data and processes, which is the unglamorous work that decides whether an agent knows what a claim or a payment actually is at your firm. Second, the Microsoft side is mostly products a large client may already own. A firm deep in the Microsoft estate is not buying a second universe. It is lighting up the one it has, with IBM agents on top.
The three promises, in plain English
The companies frame the offer around three advantages, and each one answers a known reason enterprise agent projects stall.
Instant Expertise is the library. Start from prebuilt agents, assets and industry knowledge on day one, then adapt them to your business, rather than starting from scratch. Fits the Enterprise is the connection claim. The platform is designed to plug into the data, processes, systems and technology a firm already runs, with security, identity and governance built into the experience, so a client builds on what it has instead of replacing it. Intelligence Multiplier is the context claim. IBM brings its record of building and running the agents, Microsoft brings the tools that connect company knowledge and data across the organisation, and people and agents work with that shared context behind them.
None of the three is a measured result. They are design claims from the two sellers, and the honest way to read them is as a checklist for a pilot. Does the library hold parts for your process? Does the platform connect to your systems without a rebuild? Does the shared context make the agent output better than a standalone tool? A short engagement can answer all three with evidence. The launch documents alone cannot.
Governance is the real pitch
Every vendor now sells agents. Far fewer lead with the controls, and that is where this offer spends its weight. The announcement says the platform is built to help organisations govern agents with controls, observability and AI compliance support, aimed first at firms in regulated industries. The IBM product page names the machinery: Entra, Purview, Defender and Sentinel governing and securing data, agents and identity, with real time visibility and control, so each digital worker operates inside policy.
That emphasis matches the buyer. A retailer can forgive a clumsy agent. A bank or an insurer answers to regulators for what its software did, who it acted as, and what data it touched. For those firms the question was never whether an agent can draft a summary. It is whether the firm can show an auditor a clean record of the action afterwards. Our profile of Mistral Studio made the same point from the platform side: the runtime, the record and the approvals are the real product, and the agent is the small part.
Every worker through the gate, one at a time, on the record. That is the governance claim drawn as a picture. Illustration: Dirty Static
First industries, and one name to read carefully
The first industry frameworks cover financial services, insurance and retail. The companies describe those frameworks as a repeatable blueprint, and name manufacturing, energy, public sector and mobility as industries that could follow. That second list is a goal, not a schedule. The announcement itself warns that statements about future direction are subject to change or withdrawal and represent goals only.
The named example is SEI, a provider of financial technology, operations and asset management services. As of September 30, 2026, SEI manages, advises or administers approximately 2 trillion dollars in assets, per the announcement. SEI is working with IBM Consulting, with Microsoft support, to explore emerging and agentic technologies as part of a wider effort to improve how it operates.
Read that wording as carefully as the 6,000 figure. Exploring is not running in production, and the announcement presents SEI work as an illustration of the business needs agents can address, not as a finished deployment of this platform with results attached. SEI is evidence that a serious firm in a regulated industry is at the table. It is not yet evidence of what the platform returns once it is live.
How you actually get it
There is no download, no trial tier and no self serve signup. The announcement gives three routes in. A client can engage IBM Consulting to deploy and operate the platform on the client behalf. A client can build together with IBM Consulting on an enterprise scale implementation. And self management options are also available, for firms that want to run the platform with their own staff once it stands up.
Forward deployed engineering support from both companies is part of the offer for qualifying engagements. That phrase matters. It means engineers from IBM and Microsoft work inside the client team to move work from experiment to production, and it also means the offer is aimed at engagements large enough to justify that staffing. This is enterprise procurement, with the pace and the paperwork that implies, and it should be compared against other consulting led platforms rather than against tools a team can install this week. A team that wants the opposite shape, one manifest that sets up agents on machines it controls itself, is the audience for Microsoft APM instead.
What it costs
Nothing public. No price list, per seat figure or engagement range appears in the announcement, the IBM product page or the coverage checked on November 11, 2026. That silence is normal for consulting led enterprise offers, where the bill depends on scope, and it is still a cost to the buyer: you cannot model the spend, compare it against a rival platform on price, or set a budget ceiling before the sales process starts.
What a buyer can do is price the parts around the engagement. Much of the Microsoft side rides on products the firm may already license, such as Azure, Microsoft 365, Entra, Purview and Defender, and the IBM side is consulting time plus the platform. Ask both firms, in writing, what is included in the engagement price, what runs on existing licences, and what new licence or usage charges begin when agents go live. Get the answer before the pilot, while the question still has leverage.
What Works
- Starts from a library of more than 6,000 existing agents and assets instead of a blank page
- Governance machinery is named product by product, with identity, policy and security tools aimed at regulated firms
- Runs on a Microsoft stack many large firms already license, with IBM industry frameworks on top
- Engineers from both companies join qualifying engagements to carry work into production
What Does Not
- The 6,000 figure mixes agents and assets with no published split
- No public price and no general availability date at launch
- No customer named as running the platform in production; the named client is exploring
- Sold only through consulting engagements, so pace and cost follow enterprise procurement
Which should you choose
Choose Imagine Enterprise if you are a large firm in financial services, insurance or retail, already deep in the Microsoft estate, with agent pilots stuck at the governance gate. That is the exact shape this offer was built for. The library shortens the build, the named controls speak the language your risk team already uses, and the engineers are part of the deal. Start with one process, demand the library split for your industry, and judge the pilot on the audit record it produces as much as the work it saves.
Choose it, carefully, if you run a regulated firm outside the first three industries. The blueprint claim says your industry can follow, but no timetable is published. Insist on knowing which parts of the library and which frameworks exist for your sector today, and which parts are roadmap. Pay for what exists.
Wait if you need a price before a conversation, or proof from production. A missing price and a missing production customer are not scandals. They are stage markers. A careful firm can pilot now and sign broadly later, once IBM and Microsoft publish the split inside the 6,000, a rate card in some form, and one deployment with results a third party can check.
Skip it if you are a small or midsize team. Nothing in this offer is sized for you. There is no tier to buy, no console to open and no way in except a consulting engagement. The agent tools built for teams at your scale live elsewhere in this section, and they will be running on your machines before an enterprise engagement clears procurement.
Final thoughts
Imagine Enterprise is best understood as two firms admitting, in public, what enterprise agent work actually costs. The model is not the hard part. The hard part is the library of parts that already fit an industry, the connections into data and daily process, and the controls that let a regulated firm defend every action an agent took. IBM and Microsoft have assembled credible pieces for all three, and named them plainly enough that a buyer can check each one.
What the launch has not earned yet is trust in its numbers. A combined count of agents and assets, no price, and an exploring client presented beside a production shaped pitch are the habits this publication exists to poke. The platform may well deliver. The record that would prove it does not exist in public yet, and until it does, the right posture is a small pilot, hard questions about the split, and a signature that waits for answers.
Sources
- Joint announcement, the 6,000 figure, the three advantages, engagement routes, first industries and the SEI description: IBM and Microsoft announce a new AI agent platform, Microsoft Source, November 10, 2026
- Product framing as a digital talent agency, platform layers and governance products including Sentinel: Imagine Enterprise, IBM
- Joint investment framing and governance at the foundation: The digital workforce, IBM
- Coverage noting the figure counts agents and related assets together, and the Microsoft coordination tools: IBM and Microsoft Launch AI Agent Platform, PYMNTS
- Announcement summary and forward deployed support for adoption: Microsoft, IBM team up on AI agent platform, CIO Dive
- Illustrations: Dirty Static, generated in house style
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Stay curious. Question everything.
