AI Growth Infrastructure

Approval-gated AI implementation

Ship one AI-assisted workflow your team can trust.

In 10 business days, we turn one repeated revenue or operations task into a dry-run AI workflow inside your existing tools. Your team approves sensitive actions before anything goes live.

Send my workflow for review See scope and pricing
Scope
1 workflow
Timeline
10 business days
Control
Dry-run first

Start with one workflow

For teams where important work still depends on manual handoffs.

Most teams do not need another chatbot. They need follow-up, data movement, CRM hygiene, research, reporting, and handoffs to stop depending on memory and manual effort.

We start with one repeated task, build a controlled path, and only expand when the first workflow is useful, safe, and worth maintaining.

Scope and pricing

10-Day Safe AI Workflow Sprint

A fixed-scope implementation for agencies, service businesses, and operators who already have tools but still run too much of the business by hand.

What you get

  • One mapped workflow with clear entry, review, and completion points.
  • One AI-assisted worker or workflow connected to approved tools.
  • Dry-run output, approval gates, error handling, and activity logs.
  • A handoff guide your team can use without us in the room.

What we will not build first

  • No autonomous live sending before the dry-run path is proven.
  • No broad transformation program before one use case works.
  • No custom dashboard unless the workflow actually needs it.
  • No vague AI strategy deck that leaves your team with more work.
Pilot setup $3,500 to $7,500

Final price depends on tool access, workflow risk, and implementation depth.

Optional continuity $1,500 to $4,000/mo

Support, tuning, new workflow requests, and learning-system maintenance.

Risk reversal No-use-case, no-build

If the diagnostic finds no suitable workflow, we give you the notes and do not sell the sprint.

Built into your current tools

Useful AI workflows for small teams with real handoffs.

01

AI agents with approval gates

Research, draft, route, summarize, score, and prepare actions while keeping a human decision point before sensitive work goes live.

02

CRM and workflow apps

Small internal systems for lead review, pipeline tracking, handoff notes, task queues, and operating visibility.

03

Custom tool connectors

MCP and API connectors for Gmail, Drive, CRM, workflow, ads, commerce, and finance tools, with sandbox-first behavior.

04

Source-grounded knowledge assistants

Internal assistants grounded in your docs, PDFs, videos, transcripts, and project history so AI follows your actual rules.

How the engagement works

Pick the workflow, dry-run it, then decide what should scale.

Every step is designed to qualify the use case before build time is spent. If the work is not repeated, valuable, and controllable, it should not become an AI project.

  1. 1

    Send one workflow for review

    Choose a recurring task tied to leads, clients, reporting, CRM updates, research, or internal handoffs.

  2. 2

    Check fit and risk

    Clarify the bottleneck, tools, owners, risk level, volume, and what a visible first win would look like.

  3. 3

    Map the safe path

    Define inputs, outputs, dry-run checks, approval points, and the handoff your team will use after launch.

  4. 4

    Ship the sprint

    Build, dry-run, review, hand off, and decide whether continuity or a second workflow is justified.

Best first workflows

Use this when the workflow is repeated, valuable, and risky enough to need control.

Strong first use cases

  • Lead research and qualification queues.
  • CRM hygiene and follow-up preparation.
  • Client intake, summary, and handoff workflows.
  • Weekly reporting and action recommendations.

Bad first use cases

  • Unbounded autonomous outreach.
  • Replacing a whole team in one project.
  • Unclear work with no measurable volume.
  • Systems that need credentials you cannot approve.

Request the workflow diagnostic

Tell us which workflow is costing you time or revenue.

We review the workflow and reply with the best next step: sprint-ready, needs a smaller diagnostic, or not a fit right now.

Qualification rule: We only build when the workflow has enough repetition, business value, tool access, and safety boundaries to create a visible first win.