Working With DeosAI Labs
DeosAI Labs is a forward deployment agency. We don't sell a platform and we don't sell a strategy deck — we embed with your team, build a Digital FTE inside a real workflow, and stay accountable for the outcome.
What an engagement actually looks like
We follow the five-step model described in The Forward Deployment Model: discovery inside your actual workflow, a scoped design with a measurable before/after, a build against your real systems, a supervised deployment with human checkpoints, and an optimization cycle once it's live. Most first engagements are scoped around a single workflow — the kind described in your industry chapter — not a company-wide transformation program.
How our services map to what you just read
If a workflow in this book matched something you're living with, here's roughly where it fits into what we offer:
- AI Strategy & Opportunity Discovery — if you're not yet sure which workflow to start with, this is where we help you find and prioritize it.
- Intelligent Business Workflows — the core offering behind most of the examples in this book: a Digital FTE embedded in a specific process.
- Enterprise Knowledge Systems — for organizations whose bottleneck is getting the right information to the right person, not process automation itself.
- AI Assistants & Operational Copilots — for workflows where the right answer is augmenting a person's judgment rather than automating a step end-to-end.
- AI Platform Integration — connecting a Digital FTE to the systems of record your team already runs, without replacing them.
- Continuous Optimization — once a system is live, the ongoing work of tuning it against real outcomes.
What you get
Every chapter in this book has walked through the same shape: a workflow quietly eating your team's time, and a Digital FTE scoped to take over one measurable slice of it. It's worth being explicit about what that produces for you, concretely — "AI transformation" has become a phrase vague enough to mean almost nothing.
- A working system, not a recommendation. The five-step model ends with something running against your real systems, not a proof of concept sitting in a sandbox nobody adopts.
- A number, not a feeling. Every engagement starts with an agreed before/after metric — cases handled, error rate, cycle time, cost per unit. You'll have the number from before we started and the number after.
- Integration, not replacement. A Digital FTE reads and writes to the tools your team already uses. Your team doesn't learn a new interface to get the benefit.
- A named owner, not a black box. Every Digital FTE we deploy has a person on your team who supervises it and a documented escalation path. You can always see why a call was made and step in before consequences compound.
- Your team, still in charge. The goal of every engagement is a system your team can eventually run without us.
How we price it
We price engagements the way the work actually breaks down: a one-time build fee for the initial workflow, and a 25%-of-build-cost annual fee if you want us to keep maintaining it.
The build fee covers the full five-step engagement for the workflow you've scoped — discovery through a supervised production deployment with an agreed success metric. It's a one-time cost tied to that specific piece of work, not a retainer.
The 25% annual figure tracks the standard industry benchmark for ongoing software maintenance (typically cited in the 15–25% range), set at the top of that band because it buys real coverage. It includes bug fixes and defect resolution against what was originally scoped, dependency and security updates, minor adjustments the system needs to keep working as intended (an upstream API changes its response format, a regulatory field needs to be added), and monitoring with a defined response time when something needs a person.
It does not include new feature work or scope expansion — a request outside what was originally built is a new engagement with its own scoping, not something absorbed into the maintenance fee. We draw that line on purpose: a maintenance contract that quietly becomes a backdoor for unlimited feature requests stops being maintenance.
If your situation calls for more than maintenance — the system is evolving fast, or you need someone actively building day to day — the right model is placing a full-time engineer with your team instead, which is a separate conversation with different economics. And if your team is strong and the handoff went cleanly, the honest answer may be that you don't need a support contract at all — we'd rather tell you that than sell you insurance you don't need.
Start with a conversation, not a proposal
The next step isn't a contract — it's a discovery call where we talk through your actual workflow, not a generic version of your industry. Bring the process that's been on your mind since you started this chapter.
Or explore what we do in more depth on the DeosAI Labs site.