How we work

One pipeline: intake, build, deploy, train.

Whichever service you apply for — a website, a CRM, a custom app or AI automation — the delivery runs through the same four stages, each with a defined deliverable.

Step 1

Intake

Typically 1 to 2 weeks

We map your sales process, operations, and bottlenecks, then rank the AI opportunities by value and effort so you know exactly where to start.

Leadership discovery session
Process and bottleneck map across sales, service, and admin
Revenue-opportunity review (lead handling, follow-up, conversion, upsell)
Cost-opportunity review (admin load, support volume, rework, errors)

Step 2

Build

Typically 2 to 6 weeks per workflow

Workflow design, tool selection, assistants, and integrations — built to an agreed specification with documentation and no vendor lock-in.

Written workflow specification and acceptance checklist
Tool and platform recommendation with cost comparison
AI assistants and internal copilots configured to your content
Automations and integrations with the systems you already use

Step 3

Deploy

Typically 1 to 2 weeks, plus a 30-day support window

Environment setup, access control, phased rollout, monitoring, and post-launch refinement until the workflow is genuinely in daily use.

Production environment setup and access control
Phased rollout plan with a defined pilot group
Data handling, retention, and responsible-use configuration
Monitoring, logging, and failure alerts

Step 4

Training

Ongoing monthly, or a one-off enablement block

Executive briefings, department workshops, practical prompt and workflow training, and adoption playbooks — built around your real day-to-day work.

Executive AI briefing for leadership
Department-specific workshops using your own workflows
Practical prompt and workflow training, not generic AI 101
Responsible-use and data-handling guidance

Ready to start with something specific?

Pick the service closest to your problem, see the work we have done, and send us a short application.

See our services