Rivergreen

Put AI to Work Across Your Company

AI strategy, systems, and training from a team that builds with AI every day — for mid-sized companies ready to do this properly.

Work with usSee how we work

Built on the tools your teams already use

  • Claude
  • OpenAI
  • Gemini
  • AWS
  • Google Cloud
  • Azure
  • Snowflake
  • Postgres
  • Salesforce
  • HubSpot
  • Slack
  • Notion
  • Microsoft 365
  • Google Workspace
  • Claude
  • OpenAI
  • Gemini
  • AWS
  • Google Cloud
  • Azure
  • Snowflake
  • Postgres
  • Salesforce
  • HubSpot
  • Slack
  • Notion
  • Microsoft 365
  • Google Workspace

Every company has a map of where AI pays off. We draw it, then we build the route.

One team, from strategy to production

  • 3weeks

    from kickoff to a working prototype

  • 6weeks

    from scope to a system in production

  • 1team

    from the first workshop to handoff

How we work

Four stages, in order. Each one ends with something your team can see, use, or run.

  1. 1Align

    Executive alignment

    A half-day with your leadership team. We agree where AI matters, where it doesn't, and what 'working' means this year — because a company moves at the speed of its leaders.

  2. 2Map

    Map the work

    We interview the people doing the work, map how it actually moves between systems, and rank every opportunity by value and feasibility. The best one becomes a working prototype.

  3. 3Build

    Build the systems

    Six-week sprints ship production agents and workflows on the stack you already run — with an eval suite, approval gates, and monitoring. Not a demo.

  4. 4Train

    Train the team

    Your champions pair with our builders from day one. Hands-on training and office hours make sure your team runs the systems — and keeps building — after we leave.

Afterwards, we can stay on as your fractional Head of AI.

Executive Session

Half day · from $6,000

A hands-on half-day that gives your leadership team clarity and a first move.

Learn more

Built by people who ship

We're builders first. A strategy is only as good as the system it turns into — so the same people who set the plan write the code and train the team.

  • We build, then we teach

    Every engagement ends with software that runs and a team that can run it. There are no slide-deck-only deliverables.

    How we work

  • Senior people, small team

    The people you meet on the first call are the people who do the work. No account layers, no bench of juniors learning on your budget.

    About us

  • Prices in the open

    Fixed fees for fixed scope, with starting prices published. You know what things cost before you book a call.

    See services

Who we work with

Mid-sized companies — roughly 50 to 2,000 people — where a few well-built systems change how the whole business runs. The playbook differs by industry; the standards don't.

  • Operations

    Operations-heavy companies

    Logistics, manufacturing, field services, healthcare administration

    We automate the work that happens between your systems: exceptions, approvals, reconciliations, reporting, and follow-ups.

    Get in touch
  • Professional services

    Law, accounting, agencies, consultancies

    Document-heavy firms where judgment matters

    We turn intake, review, drafting, and research into AI-assisted workflows your experts trust — with the checks your clients expect.

    Get in touch
  • Software

    Product and engineering teams

    Companies adding AI to what they sell and how they build

    We help teams ship AI features customers actually use, and adopt agentic development without breaking what already works.

    Get in touch

Questions we get on the first call

How is Rivergreen different from an AI agency or a big consultancy?

Agencies build what you ask for; consultancies tell you what to build. We do both, with one senior team, at fixed scope — and we publish starting prices. Most firms doing serious AI work only take $1B+ companies. We work with mid-sized companies, where a few well-chosen systems change the P&L.

How fast will we see something working?

Three weeks. The Diagnostic ends with a working prototype of the highest-value opportunity, so the decision to invest in a Build Sprint is based on something you can click, not a slide.

Which models and tools do you use?

Whichever fit the job and your constraints. We work across Anthropic, OpenAI, Google, and open-weight models, and build on the cloud and systems you already run. We'll also tell you when a problem doesn't need AI at all — most workflow problems are mostly software.

Is our data safe?

We deploy inside your cloud or a dedicated environment, use enterprise API terms that exclude training on your data, and put approval gates on any step that touches money, customers, or records of truth. A security review is part of every Build Sprint.

We already tried AI and it didn't stick. Why would this be different?

Usually the model was fine and the workflow wasn't. Pilots fail when nobody redesigns the process around them, nobody measures accuracy, and nobody owns the system after the vendor leaves. Our engagements are built around those three failures: we map the process first, define 'working' with an eval suite, and hand the system to a named owner on your team.

How do you price?

Fixed fees for fixed scope. The Executive Session and Diagnostic are flat fees; Build Sprints are scoped and priced up front; the Fractional Head of AI is a monthly retainer with a three-month minimum. Starting prices are on the services page, and a quote never changes after we've agreed on scope.

Where are you based? Do you work remotely?

Remote-first, with on-site days for executive sessions, workshops, and launches when it helps. Every client gets a shared channel and a demo on real data every week.

Ready to put AI to work?

Tell us what you're trying to do. We'll reply within one business day with a time for a 45-minute intro call — and a straight answer on whether we're the right fit.

Prefer email? [email protected]

We reply within one business day.