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04Our Services

From first conversation to long-term partner.

One owner across four stages — each a clear, costed deliverable, not a vague retainer. The AI Blueprint stands alone and is yours to keep, whether or not we build it.

01Consulting
AI Blueprint
Discovery, system architecture, and a three-scenario ROI model in one costed, buildable roadmap.
Detail 02Engineering
Build
We build and ship the system inside your existing tools and stack.
Detail 03Enablement
Training
We train your team to operate, trust, and get the most from the system.
Detail 04Monthly
Support
Continuous monitoring, optimization, and iteration. AI drifts; we keep it sharp.
Detail
Consulting · Service 01 / 04 · ~1–2 weeks · standalone, paid

AI Blueprint

We turn an ambiguous goal into a costed, buildable plan — before you spend anything on the build. You leave with a plan you own.

How it works
01
Diagnose
We map your workflows, data, and buyer or decision context, and pinpoint where AI actually creates value.
02
Model the ROI
Three scenarios, conservative to aggressive, with the math shown and opportunities ranked by return.
03
Design the system
Full technical architecture: data flows, model choices, integrations, and security guardrails.
04
Plan the build
Scope, phases, milestones, acceptance criteria, and a costed roadmap you can act on.
What you get
  • Opportunity map, ranked by ROI
  • Three-scenario ROI model with assumptions shown
  • Requirements spec with measurable success criteria
  • Technical architecture package
  • Phased build plan and costed proposal (SOW)
  • A working proof-of-concept on the top use case

◆ A standalone plan, yours to take to any team — including your own.

Engineering · Service 02 / 04 · 4–8 weeks per module

Build

We build the system around the tools your team already uses — and you own all of it: code, models, and IP, from day one.

How it works
01
Spec-driven build
Built module by module against the Blueprint, with weekly demos. No black box, no surprises.
02
Evaluate
Every layer is scored against your success criteria and regression-tested before it ships.
03
Acceptance
Joint testing on your real data, in your stack. No final invoice until you sign off.
04
Handoff
Code, models, and IP moved into your accounts, with documentation and a team walkthrough.
What you get
  • Production system live inside your existing tools
  • Source code and models in your accounts, owned by you
  • Evaluation suite and accuracy / quality report
  • Architecture docs, runbooks, and decision log
  • Recorded handoff and training sessions
  • Full portability, no lock-in

◆ Modular by design — every part can be maintained or replaced independently.

Enablement · Service 03 / 04 · after handoff

Training

We make sure your team can operate, trust, and extend the system — not just receive it. The goal is your independence.

How it works
01
Shared understanding
Plain-language sessions on what the system does, where its limits are, and how to judge its output.
02
Hands-on operation
Your admins practice running, updating, and monitoring the system on real, everyday tasks.
03
Adoption that sticks
Prompt guides, SOPs, and a dated rollout plan so the team actually uses it, not just sees it once.
What you get
  • Live admin and user training, recorded and indexed
  • Operating manual and SOPs for your team
  • Prompt and everyday-use guides
  • Knowledge-base update guide
  • A dated adoption plan with named owners

◆ Independence by design — your team in control, not dependent on us.

Monthly · Service 04 / 04 · ongoing subscription

Support

An ongoing AI capability inside your business, measured and improved every month. AI drifts; we keep it sharp.

How it works
01
Monitor
We track live performance, quality, and model drift against your success metrics.
02
Optimize
Continuous tuning, knowledge refresh, and fixes as your data and needs change.
03
Review
A transparent monthly report on the real numbers, plus a quarterly business review.
04
Extend
New workflows and features scoped and added as your priorities grow.
What you get
  • Monthly performance report — real metrics, honestly reported
  • Knowledge-base refresh, bug fixes, prompt tuning
  • Drift and quality monitoring
  • Quarterly business review
  • Priority support
  • New features scoped on request

↻ The evaluation loop repeats every month — that is what keeps AI sharp instead of decaying.

↻How We Work

Measured, monitored, and improved.

Most AI projects stop at "it works in the demo." Real production systems need an evaluation loop — the discipline most studios skip, and how we earn the long-term partnership.

01

Build

Ship the system into your real stack and workflow.

02

Evaluate

Score it against defined success criteria before launch.

03

Observe

Monitor live behavior and model drift in production.

04

Optimize

Iterate on real-world results, month over month.

↻ The loop repeats every month — the basis of the Support subscription.

→Let's Talk

Start with the Blueprint.

An intro call, then an AI Blueprint that turns your highest-ROI opportunity into a costed, buildable plan — yours to keep whether or not we build it.

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