What workflows are best suited to this?

High-volume, rules-heavy, structured-input workflows. Order routing, invoice reconciliation, lead qualification and routing, document data extraction, status reporting, follow-up sequences. Anything where the work is the same 80% of the time and the exceptions are well-defined.

What if my workflow involves a weird legacy system?

I have wired AI agents into systems that did not have APIs by writing a thin scraper or a database adapter. If a human can do it in a browser, an agent can do it too. Discovery week catches the integration gotchas before we commit to a timeline.

Will it break our existing tools?

No. Agents read from and write to your existing stack. They do not replace it. Most installs are zero-impact on your current workflows until the cutover.

What about workflows that need judgement, not rules?

Modern agents handle judgement well when the rules are codified into the prompt and the agent is grounded in your data. For genuinely high-stakes judgement (legal review, medical triage), we keep a human in the loop and the agent does the prep work.

How do you handle errors at 2am?

Every agent has structured error handling, retries with backoff, and a Slack or email escalation if it gets stuck. Production builds also include a status dashboard so you can see exactly what ran and what failed.

Can it learn over time?

Yes. We feed flagged cases back into the prompt or fine-tune the agent on its own decisions if volume justifies it. Most agents stabilize on accuracy within 2 to 4 weeks of production runs.

All agents

Automation

6-person manual team replaced

Operations Autopilot

Replace one repetitive workflow per quarter. Hours saved or your first month is free.

20+ hrsSaved per week, average

95%+Run accuracy after 30 days

DailyRun summary to Slack or email

Most teams have one or two workflows eating disproportionate hours. Order processing. Invoice reconciliation. Lead routing. Document extraction. This is the agent that does that work for you. It runs in the background, escalates when it gets stuck, and ships you a daily summary.

Built by Jahanzaib Ahmed, AI Systems Engineer·Updated May 23, 2026

Live in 21 daysLive or first month freeYou own the code

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Default tier

Production Build

$12,000+ $1,500/mo

one-time + monthly operate · 21-day delivery

Starter Build fits one simple workflow with one integration (e.g. inbound email to CRM lead). Production is the default for multi-step workflows with branching logic.

Guarantee

Live in 21 days or your first month of operate is free.

Start this buildCompare all 3 tiers →

Who is this for?

Built for the people who already know what is broken.

I would rather lose a deal than take on a project that is not a fit. Honest fit signals below so you can self-qualify before booking a call.

Ideal fit

Operations leads who can point at the spreadsheet that eats 20+ hours a week
Founders who hired a VA to do data entry and realized that does not scale
Finance teams reconciling between systems that should have integrated five years ago

Not a fit if

Workflows that require genuine human judgement on every case (legal review, medical triage)
One-off projects: this is for workflows that recur weekly or daily
Teams that have not documented the workflow yet: garbage in, garbage out

What is in the box?

Production-grade. Nothing left for you to figure out.

Every Operations Autopilot engagement ships with these components. No phase-two surprises. No upsells once the contract is signed.

Full audit of one workflow end-to-end (the one we agree on in discovery)

Custom agent built on n8n, Make, Temporal, or pure code depending on what fits

Integrations to your existing stack (Shopify, QuickBooks, HubSpot, Airtable, Slack, Gmail, your DB)

Document parsing layer for invoices, contracts, POs, or anything else (with confidence scoring)

Error handling, retries, and a human-in-the-loop escalation lane for low-confidence cases

Daily run summary delivered to Slack or email so you see what was processed and what got flagged

Cost tracking so you know exactly what each run is costing you

30 days of post-launch tuning

How does the build actually run?

Four phases. Three weeks. One engineer.

I do not disappear and surface with a demo. You see daily progress. You sign off at each phase. If something is wrong, we catch it before it ships.

Audit (Week 1)

I sit with whoever currently does the work. Watch them do it. Document every step, every exception, every gut-feel decision. You get a written workflow map.

Build (Weeks 2 to 3)

Agent built and tested against your real data (sanitized). You see every run. We iterate on the edge cases that always trip up automations.

Shadow mode (Week 3)

Agent runs in parallel with the human for a week. Outputs compared. Confidence threshold tuned. You sign off on the cutover.

Cutover and monitoring

Agent takes over. Human reviews only flagged cases. I monitor for 30 days, ship fixes same-day, and hand you a dashboard so you can see hours saved each month.

Real client. Real outcome.

What does this look like in the wild?

Case study

Fig and Bloom: 70% of operations automated across 12 production apps in a 3-year partnership.

Read the full case study

How does the math compare to hiring?

The unit economics, plainly.

Hiring a human

$3,500 to $5,000/mo for a VA. Or a full-time ops hire at $60K+. Both still need management.

Hiring this agent

$12,000 once + $1,500/mo. Runs 24/7. Logs everything. Never makes the same mistake twice.

Real outcome: 6-person data entry team in one DTC brand reduced to 1 reviewer in 6 weeks.

The questions everyone asks