Services — Three builds. One diagnostic. Each one finishes.

Each engagement has a fixed scope and a written artifact a non-technical executive can read end to end. None ends with a slide deck and a follow-on proposal.

01·Build

Before you commit. One build to find out.

A small, contained system built end to end, so you can see what is possible before scoping the larger engagement.

Who this is for

Businesses that want to see what is possible before committing to a larger engagement.

You want to deploy artificial intelligence but you are not ready to commit to a full implementation. You need to see something working — in your environment, on your data — before you can justify the investment internally.

The work, phase by phase

Scope
Define scope. One use case, clearly bounded. Agree on success criteria before writing a line of code.
Build
Production-quality code from day one — no prototypes that become legacy.
Handoff
Deploy, document, and hand off. You walk away with working code, not a demo that lives on our laptop.

What you walk away with

→A working system in your environment.
→Code you own, with documentation.
→A clear scope for what the next logical build would be.

Best for: You have a specific, bounded use case and want to see it working before committing to a larger engagement.

Not for: You do not yet know what you want to build. In that case, start with a discovery call.

02·Build

Spec is ready. Now we build.

Defined requirements taken to production by the same hands that scope the engagement. No handoffs.

Who this is for

Engineering leads or heads of product with a defined requirement and a deadline.

You know what you want to build. You have the requirements. You do not have the senior engineers to build it, or your internal team is stretched. You need someone who will read the brief and build it correctly.

The work, phase by phase

Discovery
Requirements review. We read everything you have, ask the questions your team has not asked yet, and agree on a final scope in writing.
Build
The team that scopes the engagement is the team that builds it.
Handoff
Integration, testing, and handoff. A walkthrough with whoever owns it next. Documentation your team can maintain.

What you walk away with

→A production system in your environment.
→Integrated data architecture — the pipelines, contracts, and documentation the system runs on.
→Documentation your team can maintain without us.
→A handoff memo covering architecture decisions and known trade-offs.

Best for: You have defined requirements and need senior execution.

Not for: Requirements are still in flux. Build those first, then come back.

03·Build

The pilot passed. Now it ships.

One scoped system — including agentic ones — taken from prototype to production. Workflow redesign first.

Who this is for

Engineering or product leads whose pilot succeeded but whose team cannot carry it into production alone.

The pilot worked. The demo was good. The business case is approved. Now you need to take it from a proof of concept on someone's laptop to a production system your team inherits and your customers rely on. That transition is where most AI work quietly dies — and it is where agentic systems quietly die first.

The work, phase by phase

Workflow redesign
We map the current process, identify what breaks at production scale, and agree on the redesigned workflow before writing a line of new code.
Build
Production-grade code, governance built in, monitoring from day one.
Hardening & handoff
Hardening, handoff, and profit baseline. We set the measurement framework before we leave so you can defend the ROI when the question comes.

What you walk away with

→Redesigned workflow documentation.
→System in production with monitoring in place — agent-ready architecture where relevant.
→Integrated data architecture: pipelines, contracts, and the documentation your team needs to extend it.
→A profit baseline and measurement framework.
→Code you own. Handoff memo.

Best for: Your pilot succeeded and you have board approval to ship.

Not for: The pilot is still running or the business case is not yet approved.

04·Diagnostic

Portfolio triage

A board-ready verdict on every AI pilot you have running, with one page per pilot.

Who this is for

PE-backed CFOs, public-company COOs, or CIOs with a sponsor review coming up and an AI portfolio that has not produced anything in production.

You have eleven AI pilots scattered across departments. A sponsor review is coming. Nothing is in production. Three of the pilots are quietly already dead and nobody has said so. You cannot tell which ones to kill, which ones to ship, and which one to escalate to the board.

The work, phase by phase

Inventory
Inventory every active and dormant pilot. Interview each sponsor. Read the code, read the metrics, read the meeting notes.
Score
Score each pilot on three axes: evidence of value, technical risk, and sponsor-narrative fit. Identify what is killable now.
Memo
Write the board memo. One page per pilot. Verdict on each. Optional second meeting to walk it through with the board.

What you walk away with

→A board-ready slide deck with one page per pilot and a verdict on each.
→A written portfolio memo a non-technical director can read end to end.
→A staffing recommendation for the pilots that survive.

Best for: You have between five and twenty AI pilots running, a sponsor or board moment coming, and the political room to actually shut things down.

Not for: You want validation that everything you are doing is fine. We will not write that memo.

Contact

We know where artificial intelligence belongs in your business — and how to make it run.

Talk to us and we will show you exactly where the gaps are and what we would build. Founder to founder.

Talk to us →hello@olondi.com