Our main method

Forward deployed engineering: AI built inside your business.

We work inside your team and build the system in your environment. Moving from pilot to production depends on test results and the criteria agreed with you. It is our main method.

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One of the ways we work.

Capitao.Consulting is an AI consultancy. Forward deployed engineering is how we build AI into a business that already runs. We also build AI agents that take repetitive work off your team, new AI products and tools from scratch, and new processes when the old one is the bottleneck. We pick the approach your problem needs.

What is forward deployed engineering?

A forward deployed engineer works inside your business: same tools, same goals, same standups. We learn your real workflow, build on top of it and ship software for your team to run.

The hard part is often the last mile.

A model that works in a test does not always reach the people who need it. The gap between a promising pilot and a system your team uses every day is an execution gap, and a document alone does not close it. Forward deployed engineering is built to work on that gap.

Why the work happens inside your business.

Building and testing in the environment where the system will run shows problems early. In forward deployed engineering we work with your data, your tools and your people, at a scale that fits your business.

How we deploy forward

Four moves, from embedded to handover.

01We embedWe join your team and use your tools. We learn the workflow before we write any code.
02We build with youWe build working software in short sprints and show progress in demos. Scope and success criteria are agreed with you first.
03We pilot, then decideA pilot with real users and human approval on actions that cannot be undone. Production follows only if the results meet the agreed criteria.
04We hand overCode and documentation are delivered within the agreed scope, with rights defined by the contract and the applicable licences. We train your team to run and extend it.

01We embedWe join your team and use your tools. We learn the workflow before we write any code.
02We build with youWe build working software in short sprints and show progress in demos. Scope and success criteria are agreed with you first.
03We pilot, then decideA pilot with real users and human approval on actions that cannot be undone. Production follows only if the results meet the agreed criteria.
04We hand overCode and documentation are delivered within the agreed scope, with rights defined by the contract and the applicable licences. We train your team to run and extend it.

How it compares

Illustrative engagement formats; deliverables depend on the agreed scope.

	Forward deployed	Strategy-only consulting	Generic SaaS
What you get	Software running in your environment, tested with your team	A strategy document and a roadmap	A standard product, configured for you
Who does the work	Senior engineers who build	Analysts and advisors	The vendor's product team
When it ends	At the agreed handover, once the criteria are met	When the report is delivered	Usually a subscription that continues
Who owns it	Defined by the contract and the licences	Defined by the contract	The product belongs to the vendor
Fits your workflow	Built around your process	Recommendations for your process	Adaptation through available settings and integrations

Forward deployed

What you get: Software running in your environment, tested with your team
Who does the work: Senior engineers who build
When it ends: At the agreed handover, once the criteria are met
Who owns it: Defined by the contract and the licences
Fits your workflow: Built around your process

Strategy-only consulting

What you get: A strategy document and a roadmap
Who does the work: Analysts and advisors
When it ends: When the report is delivered
Who owns it: Defined by the contract
Fits your workflow: Recommendations for your process

Generic SaaS

What you get: A standard product, configured for you
Who does the work: The vendor's product team
When it ends: Usually a subscription that continues
Who owns it: The product belongs to the vendor
Fits your workflow: Adaptation through available settings and integrations

What you walk away with.

Forward deployed engineering is meant to leave your team able to run what we build.

01A pilot tested with your team on your own data
02Production, if the results meet the agreed criteria
03Your people trained to run and extend what we build
04Code, documentation and decisions delivered within the agreed scope, with rights defined by the contract

Questions, answered.

Is this just consulting with a new name?

Our service includes development and testing with your team. Scope, deliverables and acceptance criteria are agreed with you; production deployment depends on the results.

Do we need a big budget or a data team?

It depends on the scope. Discovery assesses the budget, data and expertise needed. We start with a focused Discovery and, if the results justify it, a scoped pilot on your real data, so you see what works before committing further. The approach adapts to companies of different sizes.

What if we want to take it in-house later?

We plan for that. We deliver the code and documentation within the agreed scope, with rights defined by the contract and the applicable licences, and we train your team to run and extend it.

Which AI tools do you use?

The ones that fit the job, after testing them on your data. We can use vendor models, open models on local infrastructure, or both, and we re-test when new versions are released.

Let us work inside your business.

Tell us the process that is slowing you down. We will say whether AI fits and what we would build.

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