Implementation

We build it. You own it.

Fixed-fee AI deployment and custom workflow systems on the platforms that fit your data and your stack. Documentation, source code, and every account are yours from day one — there is no vendor lock-in to us.

AExample scopes
Compact

Single workflow

Starting at $1,500

One well-defined workflow on an established platform — usually a 2–4 week build.

  • One workflow live and documented
  • Integrations to one or two existing systems
  • Team training (1–2 sessions)
  • 30 days post-launch support
Timeline · 2–4 weeks
Standard

Multi-workflow build

Starting at $7,500

Two or three connected workflows, typically with custom integrations into your existing stack.

  • Multiple workflows live and documented
  • Custom integrations and data pipelines
  • Team training across roles
  • Admin dashboard or operator UI
  • 30 days post-launch support
Timeline · 4–10 weeks
Scale

Department / firm-wide

Starting at $25,000

A coordinated rollout across a department or small firm — multiple workflows, multiple teams, governance built in.

  • Department-scope deployment
  • Role-based access and audit trails
  • Cross-team training and rollout plan
  • Change-management documentation
  • Extended post-launch support
Timeline · 8–16 weeks
Every implementation starts from an audit. The audit produces the fixed-fee number; we do not quote implementation blind.
BAlways included

What you get on every build.

These are the things that should not have to be negotiated. They are baked into how we work and they are part of every implementation we ship.

  • Fixed-fee pricing — you know the number before we start
  • Documentation as a deliverable (Markdown + diagrams)
  • You own every account, integration, and credential
  • Source code in a repository under your control
  • 30 days of post-launch support included
  • Clean handoff if you ever bring it in-house
A 30-minute call · No pitch

Let's find out where the
hours are going.

Book a free discovery call. We'll talk through what your team is doing, where AI could help, and where it can't. You'll leave with a clearer picture either way.