AI Workflow Automation

The manual work between your tools handled by a system you can see.

Most teams lose hours a week to work that lives in the gaps between tools: copying data, drafting the same replies, chasing approvals, updating the CRM by hand. I turn those workflows into AI systems with clear ownership, human approval where it matters, and a dashboard so you can see what ran and what it cost.

Capability orbitWorkflow mapAI draftingIntegrationsApproval queueAudit trailFallbacks
Manual work, automated with control
InvestmentFrom $8k

Fixed project fee, scoped to the workflow. An optional monthly retainer keeps it tuned.

The problem

Automation that nobody trusts is worse than no automation.

The reason most automations get switched off is not the model. It is that they run silently, with no log, no approval step, and no way to tell a good run from a bad one. So the first time something looks off, the team stops using it. A workflow you can watch and correct is one the team keeps.

Where it hurts
01Repetitive drafting, triage, and data entry across disconnected tools
02Approvals stuck in inboxes with no audit trail
03No visibility into what the automation did or what it cost
04Brittle no-code chains that break the moment a tool changes
The build

AI workflow systems with drafting, integrations, approvals, and a dashboard.

Scoped to a real process you run today, wired into the tools you already use, with a human in the loop wherever a mistake would be expensive.

Approval queueLive
Refund above thresholdDrafted reply, needs approvalPending
Vendor invoice mismatchFlagged for reviewHeld
Order status replySent automaticallyDone
CRM field updateSent automaticallyDone

Illustrative. A real anonymized artifact replaces this as case studies publish.

Included
AI drafting and summarization for the repetitive stepsCRM, helpdesk, and API integrationsHuman approval queues with a full audit trailA dashboard for runs, costs, and failuresGuardrails and fallbacks so a bad input fails safely
How it works

A small number of moves, each one verifiable.

Every stage ships its own deliverables, so you can see progress and correct course before the next one starts.

01

Map the workflow

We trace the real process end to end and find the steps worth automating and the ones that need a human.

Workflow mapAutomation candidatesRisk points
02

Build the core

I build the drafting, the integrations, and the approval steps against your real tools, not a demo.

Working systemIntegrationsApproval flow
03

Add the controls

Logs, costs, and failure handling go in so the team can trust it and you can see it.

DashboardRun logsFallbacks
04

Hand off and tune

Your team owns it. An optional retainer keeps it tuned as the work changes.

DocumentationTrainingOptional retainer
Why me

Built from running the work, not slides about it.

That is why the controls come first. The automations I keep running are the ones with a log, an approval step, and a cost line. The ones without those are the ones every team eventually turns off.

See the things I have built

I do not advise on AI from the outside. I build these systems in my own products first, live with the failure modes, and rebuild the parts that break under real users. The patterns I bring to your build are the ones I have already paid for in mine.

Pricing

One project fee. No surprises.

Fixed project fee, scoped to the workflow. An optional monthly retainer keeps it tuned.

Project
From $8kfixed

One workflow, built and shipped against your real tools.

Scoped to a real processIntegrations + approvalsDashboard + logs
Book a call
Ongoing
From $1k/ month

Optional retainer to tune and extend as the work changes.

MonitoringIterationNew workflows
Book a call
FAQ

Before you reach out

Next step

Start with a short call. Straight answer either way.

We confirm fit, scope the work, and decide whether to start with the Intensive or go straight to the build.

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