Ongoing · AI Technology Partnership

An AI department, embedded in your business.

A dedicated AI Solutions Architect and Technical PM working alongside your team — continuously identifying opportunities, scoping projects, shipping systems, and hitting performance metrics. Paid on outcomes.

We don't pitch projects. We hit numbers.

A Partnership runs on a performance agreement tied to 3–5 measurable business outcomes. Quarterly business reviews. Locked baselines. Tiered payouts. You get the upside; we share the risk.

Embedded team
Architect + PM, dedicated
3–5 metrics
Tied to real business outcomes
Quarterly QBRs
Full transparency on every number

What the partnership
delivers, ongoing.

A real AI capability inside your org — without hiring, training, or managing the team yourself.

01

A dedicated AI Solutions Architect

Knows your business deeply. Continuously surfaces new opportunities, scopes them, and stays one project ahead of where you are today. The strategic counterpart to your leadership team.

02

A dedicated Technical Project Manager

Owns execution. Manages the dev team. Runs sprint demos. Sends weekly status updates. The single throat-to-choke for delivery.

03

Per-project mini-Blueprints + builds

Every new initiative gets its own scoped mini-Blueprint with ROI math, success metrics, and a work breakdown. Builds follow the same Project shape — acceptance testing, handoff, training, code in your repos.

04

Quarterly Business Reviews with the math shown

Performance vs. baselines. Deployment impact. What's next. The performance compensation calculation with every number visible. No black-box invoices, ever.

05

A performance agreement, locked + tiered

3–5 metrics. Threshold / target / stretch payouts. Quarterly calculated and paid. A confounding-variable log so we can isolate what the AI actually drove.

06

Annual renewal at 12 months

Baselines reset. New metrics added based on track record. Compensation rates adjusted. The partnership compounds — every cycle ships faster than the last.

How a Partnership runs.

Three layers running concurrently — embedded strategy, per-project delivery, and the ongoing performance loop.

01

Master roadmap

Set in month 1
+

We start by building the master roadmap — every AI opportunity in your business, prioritized, with the metrics each one moves. This is the canonical source for everything we ship over the next 12 months.

  • Master opportunity map
  • Roadmap with sequencing
  • 3–5 partnership metrics
  • Locked baselines
02

Per-project cycles

Every 4–10 weeks
+

Each project gets a mini-Blueprint, a build, acceptance testing, handoff documentation, and training. Same shape as a standalone Project — repeated for each module in the roadmap. Performance verified post-deployment before scoping the next.

  • Mini-Blueprint per project
  • Build + acceptance + handoff
  • Post-deployment verification
  • Then scope the next
03

Quarterly Business Reviews

Every 3 months
+

Full metric transparency — performance vs. baselines, deployment impact, what's shipped, what's next, and the performance compensation calculation with every number shown. Plus the confounding-variable log so we can both see what the AI drove.

  • Metric performance
  • Compensation calculation
  • Confounding-variable log
  • Expansion opportunity log
04

Annual renewal

At 12 months
+

Baselines reset against the new operating reality. Metrics evolve based on what worked. Compensation rates adjusted based on track record. New roadmap horizon set. The relationship compounds — never starts from scratch.

  • Baseline reset
  • Metric evolution
  • Rate adjustment
  • New roadmap horizon

Is this the right fit?

Right for you if...

  • You're serious about AI as a long-term strategic capability — not a one-off project.
  • You're mid-market or enterprise with a real budget and real metrics to move.
  • You'd rather buy outcomes than rent engineers — and want compensation tied to performance.
  • You don't want to hire, train, and manage an in-house AI team yet.

Maybe not yet if...

  • You're testing the waters — start with a Blueprint or a single Project first.
  • You want to commission a single, scoped piece of work and be done.
  • Your business doesn't yet have stable metrics to tie a performance agreement to.

Ready to become
AI-Native?

Book a 30-minute conversation. We'll map the highest-leverage workflows in your business and tell you whether AI is the right answer.