Common questions about what we actually do

Is this generative AI consulting?

Kind of, but the label misses the point. Generative AI is one of the technologies we use to build business capabilities. It's not the thing we sell. A "generative AI consultancy" sells you AI strategy, tooling recommendations, and often a pilot that ends in a slide deck. We sell working business capabilities — forecasting that produces a trusted number every month, quoting that turns days into hours, month-end reconciliation that runs itself — that happen to be built with generative AI and agentic techniques underneath. The difference matters. You're buying what the business can now do, not a technology category.

MIT's NANDA Initiative reported in 2025 that 95% of enterprise generative AI pilots produce no measurable bottom-line impact¹. The 5% that do? Almost all of them involve a specialist partner who built for the workflow rather than pitching a tool. That's the shape of work we do.

Are you building AI agents?

Yes, inside the capabilities we build. AI agents are a technique — a way of structuring AI to take actions, reason across multiple steps, and hand off work to humans when judgment is needed. Most of the capabilities we enable use agentic AI under the hood, especially where workflows involve multiple steps (analyze, propose, review, decide, execute). But we don't sell agents. We sell capabilities. You'll work with us on "enable a capability that qualifies our pipeline and flags risk weekly," not "deploy six agents."

What's "capability engineering"?

It's a framing we use for the whole practice — designing and enabling specific business capabilities rather than deploying software features or running transformation projects. A capability is a durable thing your business can do — "produce a trusted monthly forecast," "close the books in four days," "qualify proposals consistently." Capability engineering is the discipline of identifying the capabilities a business needs, designing them against measurable outcomes, and building them on a foundation where they compound across the business. It's what the "factory" in Capability Factory refers to.

Is this AI-native development or traditional software development?

AI-native development. The distinction matters. Traditional software development assumes a team of engineers writing code against a fixed specification over months or years. AI-native development uses large language models, agentic techniques, and AI-assisted tooling to compress that work dramatically. Rigorous studies show developers using AI assistants completing coding tasks 55% faster in controlled trials⁴, top-performing organizations seeing substantial team-level productivity and quality gains⁵, and field studies of agile teams using agentic AI tools measuring 59% more completed story points over the research period⁸. In our operational experience, with a senior architect running the work from problem through outcome, the compression is larger still — one architect in week-long sprints can produce what used to require a multi-person team over months. That's not automation; it's a different economic model. It's what makes bespoke without the bet possible.

What about generative app development? Vibe coding? Agentic coding?

Different names for overlapping things — the broad pattern of using AI to dramatically accelerate how software gets built. We do this, and it's part of why we can quote one architect-week and deliver a working capability. But the terms describe how we build, not what we sell. What we sell is capabilities and outcomes. How we build them will keep evolving as the underlying AI technologies improve. That's our job to keep up with; you don't need to track the difference between vibe coding and agentic coding to work with us.

Do we need a tech team to work with you?

No. That's explicit. Every engagement is staffed by one senior architect from Capability Factory, full-time for the weeks you've committed. You don't manage us. You don't configure anything. You don't need a software engineer on your side. Your role is to show up for Monday sprint kick-off and Friday demos, bring clarity about the problems and outcomes that matter, and make the decisions only your business can make. We do everything else.

How is this different from a SaaS platform?

SaaS platforms are built for a thousand companies at once, which means they fit your business imprecisely and charge you for the whole thing. Pendo's research found that 80% of features in the average software product are rarely or never used². Zylo's 2026 research found nearly half the licenses a typical organization pays for sit unused — around $20M in annual waste at the average enterprise³. Most mid-market businesses using SaaS end up with three or four platforms at low utilization, a consulting firm on retainer to keep them configured, and spreadsheets to fill the gaps the platforms don't cover. We're the opposite — software precisely shaped to your business, built on top of the platforms you already use. Your CRM stays. Your accounting system stays. The capability is built for you, on top of what you have.

How is this different from custom software development?

Traditional custom software development delivers what you need but costs seven figures, takes eighteen months, and locks you into the system for five to ten years. That math only works for enterprise. AI-native development breaks the tradeoff — we can build bespoke software for mid-market in weeks, at a cost a CFO can sign without a committee, and rebuild it when the business changes. You get the precision of custom development without the commitment shape that made custom development unaffordable. Bespoke without the bet.

Can the AI assistants we already use work with our data?

That's one of the things we build for. Most mid-market businesses have employees using ChatGPT, Copilot, Claude, or Gemini — already, today, whether leadership has sanctioned it or not. Microsoft's 2024 Work Trend Index found that 78% of AI users at work are bringing their own AI tools⁶. Cyberhaven's research on actual workplace usage found that 73.8% of workplace ChatGPT activity happens through non-corporate accounts⁷. The question isn't whether AI assistants are touching your business. The question is whether they're doing it through governance you control.

We build the governed, role-based data layer that changes that. Your sales manager's assistant can answer questions about your pipeline. Your CFO's assistant can explain this month's variance. Access is controlled — people and AI assistants see what their role permits, nothing more. Your data stays yours.

Are you AI consultants, software developers, or something else?

Something else. Traditional consulting firms sell strategy and recommendations. Traditional software development firms sell code and implementation. AI tool vendors sell platforms and licenses. We sell business capabilities and measured outcomes — delivered by a senior architect using AI-native development techniques, on a foundation where your data is governed and accessible. Closest category name: AI-native capability engineering for mid-market businesses. But most of our clients don't bother with the category name. They just describe what we did for them.

What does this cost?

Sprints — one architect, one week, full-time — start at $12K. A first outcome typically lands in one to three sprints. Moving a meaningful business outcome with the supporting capabilities in place usually runs two to six. A phase of connected outcomes is six to fifteen. You commit a month at a time and can adjust up or down as you go. Scoping is complimentary for smaller engagements; multi-phase scoping carries a nominal fee that's credited against the first sprint. Continuous Fit — the ongoing retainer — starts at one to two sprints per month with a modest volume discount.

What if we don't know what to ask for yet?

That's a legitimate state, and it's a different starting engagement. Requirements Elicitation is a one-sprint engagement where we work with your stakeholders and leadership to qualify your problem-space — producing problem statements, user scenarios, benefit hypotheses, and a capability maturity model. From there, you know what to ask for. You can take the output into scoping with us, or with anyone else. The method works either way.

What's the Capability Engine?

Our proprietary AI-assisted platform. It's how we compress weeks of analytical work into days — running the full method with AI assistance, tracking signals from across your business, maintaining traceability from problem to capability to outcome, and providing the environment where your stakeholders, your leadership, and your architect collaborate during an engagement. It's the reason the speed we promise is credible. You don't license it or buy it; it's how we deliver the work. Your capability model stays live in the Engine as long as our relationship continues, so when you come back for the next phase, we pick up where we left off.

How do we start?

Book a scoping conversation. Two 90-minute sessions — one focused on the problems your stakeholders feel today, one focused on the outcomes your leadership wants to move. You bring your artifacts, demos, and real-world context. We bring the method and the Engine. You leave with a real analytical package you could use even if you never worked with us again.