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Three ways this usually starts.

These are three separate engagements, not three phases of one project. Start with whichever one solves what is actually costing you money — there is no obligation to buy the next one.

Where the money goes
95%

of companies lose money on AI initiatives. Usually on a decision made before the build started.

01

Assess: AI Readiness & Workflow Audit

Most AI money is lost before any automation is built. We find where AI actually pays off, where it does not, and fix the data prerequisites first.

What you get
—Workflow and data audit across the teams you care about
—Readiness scorecard: people, process, data, tooling
—Prioritized use cases with effort and payoff estimates
—Governance and access recommendations
—A written plan you own, whether or not we automate it
02

Automate: Production AI & Workflow Integration

No-code automations and internal LLM agents, connected to the CRM and ops stack you already run — not a demo, a workflow your team relies on.

What you get
—No-code automations built on the tools you already pay for
—Internal LLM agents and AI assistants
—Integrations with your existing CRM and ops stack
—Reporting that normalizes messy inputs automatically
—Documentation and handoff to your team
03

Enable: Team Training & Best Practices

Adoption is the whole game. We teach your team the best practices, the features that actually matter, and how to use the tools you already have effectively — a stand-alone engagement even if we did not build a thing for you.

What you get
—Role-specific workshops for your teams
—Best-practice guides and prompt patterns for daily use
—Feature walkthroughs — what the tools can actually do
—1:1 coaching for leaders and power users
—Adoption tracking so you know it stuck

Not sure which of these you need?

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Book an AI Readiness Audit →