What kinds of work is this good for?

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

What if my software is old or weird?

Often fine. I have wired AI into systems that did not have a proper API by writing a thin adapter. If a human can do the work in a browser, an agent can too. Week one catches the integration gotchas before we commit to a timeline.

Will it break our existing tools?

No. The agent reads from and writes to your existing tools. It does not replace them. Most setups are zero-impact on your current workflow until the cutover.

What about work that needs judgement, not rules?

An AI handles judgement well when the rules are written down and the agent has the right context. For genuinely high-stakes judgement (legal review, medical triage), we keep a human in the loop and the agent does the prep work.

What happens if it breaks at 2am?

Every agent has retries, structured error handling, and a Slack or email alert if it gets stuck. You see exactly what ran and what failed in a daily status dashboard.

How much does it cost?

Every project is custom. Send me a description of the work you want automated and I will give you a real number on a call.

All agents

Automation

6-person team replaced

Operations Autopilot

Hand it the boring stuff. Get it back done.

20+ hrsSaved per week, typical

95%+Accuracy after first 30 days

DailySummary to your inbox or Slack

Every business has one or two tasks that eat too many hours. Order processing. Lead routing. Invoice reconciliation. Document data entry. An AI does that work for you in the background. You see what got done at the end of the day.

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

Live in 21 days21-day live guaranteeYou own the code

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What it actually does

Plain English. No jargon.

Here is exactly what happens after the agent is live. If any of this is unclear, ask me — I would rather over-explain than have you guess.

Watches for the trigger that starts the work (new email, form submission, scheduled time)

Reads, sorts, and routes the work the way your team would

Updates your existing tools so your team does not have to change anything

Flags the cases it is not sure about so a human reviews them

Sends you a daily summary of what got processed and what needs eyes

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 decide before we even get on a call.

Good fit if

Ops leads who can point at the spreadsheet or inbox that eats 20+ hours a week.
Owners who hired a virtual assistant to do data entry and realized that does not scale either.
Finance teams reconciling between systems that should have integrated five years ago.

Not a fit if

Workflows that need real human judgement on every case (legal review, medical triage).
One-off projects. This is for tasks that happen every day or every week.
Teams that have not written down how the work gets done. We need a map first.

What is in the box?

Everything you need. Nothing left for you to figure out.

No phase-two surprises. No upsells after the contract is signed. This is what every Operations Autopilot engagement ships with.

A full audit of one workflow end-to-end (the one we agree on in week one)

A custom agent built on the right tool for the job (no, you do not need to know what those tools are)

Connections to your existing tools — accounting, CRM, email, spreadsheets, Slack, your database

Document reading for invoices, contracts, POs, or whatever else you handle

Error handling and a clear handoff to a human for cases the agent is not sure about

A daily summary delivered to your team

A simple dashboard so you can see hours saved each month

30 days of tuning after launch

How does the build actually run?

Four phases. About three weeks. One engineer.

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

Week 1: I learn how the work gets done today

I sit with whoever does the work now. I write down every step, every exception, every gut-feel decision. You sign off on the written workflow.

Weeks 2 to 3: I build it

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

Week 3: Shadow run

The agent runs side-by-side with the human for a week. We compare outputs. We tune the threshold for when it asks for help. You sign off on the cutover.

Cutover and 30-day tune

The agent takes over. Your team only reviews 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 this compare to hiring?

The honest comparison.

Hiring a human

A virtual assistant or junior ops hire to do data entry. Still needs management. Still makes mistakes when tired. Still goes home at 5pm.

Hiring this agent

An AI does the same work in the background. Logs every step. Never forgets a rule. Never gets tired.

Real outcome: One ecommerce brand replaced a 6-person data entry team. Same volume processed, faster, in two weeks.

The questions everyone asks