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.

Investment
From $12k

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

Illustrative: the approval queue every workflow build ships with

All services

Manual work, automated with controlTurn manual, multi-tool workflows into AI systems with approvals and dashboards.

Manual work, automated with control

  • From $12k

Support agents you own, not rent

Every lead answered in seconds

Bounded agents that actually ship

Prototypes taken to production

Embedded AI leadership, on demand

The problem

Automation that nobody trustsis 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
  • Repetitive drafting, triage, and data entry across disconnected tools
  • Approvals stuck in inboxes with no audit trail
  • No visibility into what the automation did or what it cost
  • Brittle no-code chains that break the moment a tool changes

The buildAI workflow systems with drafting, integrations, approvals, and a dashboard.

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

Omid SaffariAI Systems Architect

Approval queueMore
  • In progressRefund draft — order #8412Awaiting approval
  • DoneCRM update — Meridian CoApproved
  • DoneInvoice reminder — NET-30Approved
  • DoneSlack digest — #supportApproved
  • BlockedContract summary — v3Held

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.

  • AI drafting and summarization for the repetitive steps
  • CRM, helpdesk, and API integrations
  • Human approval queues with a full audit trail
  • A dashboard for runs, costs, and failures
  • Guardrails 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.

  1. 01Map the workflow

    We trace the real process end to end and find the steps worth automating and the ones that need a human.Workflow map · Automation candidates · Risk points

  2. 02Build the core

    I build the drafting, the integrations, and the approval steps against your real tools, not a demo.Working system · Integrations · Approval flow

  3. 03Add the controls

    Logs, costs, and failure handling go in so the team can trust it and you can see it.Dashboard · Run logs · Fallbacks

  4. 04Hand off and tune

    Your team owns it. An optional retainer keeps it tuned as the work changes.Documentation · Training · Optional 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.

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.

See the things I have built

See the things I have built

One project fee.No surprises.

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

Sprint

One workflow, built and shipped against your real tools.

Systems Care

Optional ongoing ops: monitoring, tuning, and new workflows. Three-month minimum.

Scoped to a real process
Integrations + approvals
Dashboard + logs
Monitoring
Tuning + extensions
3-month minimum
From $12kfixed
Book a call
$7k/ month
Book a call
FAQ

Before you reach out

Not sure if this fits?

Start with the AI Systems Intensive.

$5,000, one focused engagement to map the work and decide what to build. The fee credits into the build. If a build is wrong for you, I will say so and you keep the plan.

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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