METHODOLOGY · FDE
Your first AI use case, live in weeks
We put engineers inside your operations instead of mailing a spec to an outsourcer. One team owns the model, the integration, and the on-call. That is how your first real use case reaches production in weeks, not a deck the board reads next quarter.
WHAT CHANGES
The plan, the build, and the run
belong to the same team
01 · STRATEGY
Start with the workflow that is costing you now
We work with the people inside the process, trace where time and judgment are being lost, and choose one use case with a clear owner and a reason to exist.
Owner named
One business owner and one accountable delivery lead
01
Scope locked
One workflow, clear boundaries, written acceptance criteria
02
Integration live
Connected to the systems and permissions people already use
03
On-call active
Monitoring, escalation, and a real person responsible
04
- Workflow and data mapping
- Risk and effort made explicit
- One use case with a named owner
02 · ENGINEERING
Build against reality, not workshop assumptions
Our team works with your real systems, permissions, data, and edge cases. You see working software early enough to challenge it while changes are still inexpensive.
delivery:one-accountable-team
OPERATING MODEL
Named
Owner
Visible
Progress
Ready
On-call
- Real integrations
- Evaluation with your examples
- Working software you can inspect
03 · SCOPE
Everyone can see what is being built and why
Inputs, boundaries, decisions, and acceptance criteria stay visible. Business, security, and engineering teams resolve the same question together instead of waiting for a handoff.
A use case your team can approve
DELIVERY BRIEF
- Inputs: the data, tools, and people already in the workflow
- Boundaries: what the system may do and when a person takes over
- Acceptance: the evidence required before it goes live
- Visible decisions
- Human review where it matters
- Acceptance criteria before launch
04 · DEPLOYMENT
Launch is where operating responsibility begins
We connect monitoring, escalation, documentation, and on-call to the system before it goes live. Once the first workflow holds up, we help your team extend it without starting over.
01
Choose
Find the workflow worth fixing first
02
Build
Work with real data and real users
03
Run
Integrate, evaluate, and launch safely
04
Improve
Monitor the system and widen what works
- Monitored launch
- Clear escalation path
- A foundation your team can extend
Six principles
01
We work on your floor
Our engineers sit in your ops meetings, open your real data, and use your internal tools. We do not interview requirements out of you. We see them on the ground, where they actually live.
02
Score the use case before we build
We score and rank every candidate on impact, on how hard it is to ship, and on what could go wrong. Then we build the one your people will keep using after it goes live.
03
Something working every week
No months-long black box. You see a running version every week. The moment something is off, you say so, and the bet you have made stays small.
04
Evaluation ships with the system
Going live is not the end of the job. Every system leaves us with eval benchmarks and monitoring already running, so you manage quality by the numbers instead of by hope.
05
Built to survive an audit
Answers cite their sources. Processes leave a record. Models carry a card. In a regulated plant, AI that an auditor cannot read is AI you cannot ship.
06
The capability stays with your team
Delivery is training. When the project ends your team can run it, change it, and scope the next use case without calling us back. You own what we built together.
From one meeting to a system in production
PHASE 0 · 1 meeting
Use-case workshop
In one meeting we audit your processes and data, score the candidates, and set what success looks like. You walk out knowing your first use case, what it is worth, and how many weeks to launch.
PHASE 1 · 2–6 weeks
We embed and build
Our engineers work inside your environment and hand you a running version every week. The data pipeline, the evals, and the interface grow together, in the open, where your stakeholders can watch.
PHASE 2 · from week 6
Live, then wider
We ramp it up with monitoring and governance already in place, then take the pattern that worked to the next process and the next team. Your proof of concept stops dying in the lab.
On the ground
We see the real requirement, the one the spec missed
Our engineers sit in your ops meetings, open your real data, and use your internal tools. What we find on the floor rarely matches what the spec said. That gap is the problem worth solving.
Book a workshop
Coding together
Your engineers build it with us
Delivery is training. Your engineers pair with our team through the build, so when the project ends the ability to run it and change it stays in the building instead of walking out the door with the consultants.
Explore services
Watching the numbers grow
A weekly brief your leadership can actually read
Throughput, catch rate, hours saved: the live numbers for every workflow on one board. Your board does not wait for the quarterly report to know whether the AI is paying off.
See the delivery workspace
One stuck workflow
is enough to begin
Tell us what the team does today, where it breaks down, and what a better working day should look like.