Workflow Automation — The Build
Foundations first, then the AI agents on top.
The audit ends with your AI Implementation Roadmap. The Build is how it gets delivered: the data and infrastructure foundations first, then the AI agents that run on them — scoped surgically, founder-led, in the order the roadmap specifies. No template engagements. No fixed packages.
How we deliver
Four rules we don't bend.
Scoped to the roadmap
Each engagement is scoped from your AI Implementation Roadmap. No scope creep, no shifted goalposts. The roadmap is the contract.
Founder-led delivery
Senior operators on the work itself — design, implementation, review. No handoffs to junior consultants.
Foundations before agents
We build the data and infrastructure foundations before the AI agents that sit on them. Skipping ahead breaks more than it builds.
Built to be owned
Documentation, runbooks, and team enablement are part of every build. We design for the day we leave.
What we build
Two layers. Foundations, then agents.
Everything we build falls into one of two layers. The full breakdown of what each can include lives on the Workflow Automation page — your roadmap picks the pieces, we build them.
Data & infrastructure foundations
The groundwork everything depends on — cloud, platform, security, observability, the AI runtime, trustworthy data, pipelines, the semantic layer, and agent-ready access.
AI agents & automations
The agents and automations that actually do the work — designed, built, integrated, and instrumented to run reliably on top of the foundations, where AI genuinely earns its place.
How an engagement runs
Tight cycles. No big-bang reveals.
Kickoff
Brief from the roadmap. Acceptance criteria, dependencies, scope confirmed in writing before any work starts.
Build
Senior-led delivery in tight cycles. Working artefacts shown weekly — no big-bang reveals.
Handover
Documentation, runbooks, training. Your team owns the work before we step back.
FAQ
Common questions about The Build.
Do I need to do The Audit first?
Not always. If you have a defensible plan from another source, we can scope the build against it directly. If you don't, The Audit is the front door — it produces the AI Implementation Roadmap the build runs against.
How is the build scoped and priced?
Each piece of work is scoped from your AI Implementation Roadmap: acceptance criteria, dependencies, and scope are confirmed in writing before any build work starts. Pricing is fixed at kickoff. No hourly creep, no shifted goalposts.
What gets built?
Two layers. First the data and infrastructure foundations — cloud, platform, security, observability, the AI runtime, trustworthy data, pipelines, the semantic layer, and agent-ready access. Then the AI agents and automations that run on top of them. The roadmap from your audit decides exactly which pieces you need.
Why does sequence matter?
Foundations before agents. Building AI agents on broken data, or automations on infrastructure that won't hold up, just multiplies the rework. The roadmap specifies a sequence; we build in that order. Skipping ahead breaks more than it builds.
Who delivers the work?
Founder-led: senior operators on the design, implementation, and review of every build. No handoffs to junior consultants. Documentation, runbooks, and team enablement are part of every build so your team can own the work after we step back.
How quickly do you ship?
Tight cycles with working artefacts shown weekly — no big-bang reveals. Length depends on scope; most builds run 4–10 weeks.
Already have a roadmap?
Bring the roadmap. We'll build it.
Audit done elsewhere? A clear sense of what you need? Tell us what's on the plan and we'll scope the build.