01
Anchor the workflow
We pick one back-office workflow with a real baseline. By end of day one, a written spec your operations team has signed off on. No discovery deck, no roadmap workshop.
Ship one production AI agent in 90 days.
Your team owns it after.
For mid-market operations teams with a workflow worth automating and no AI engineering bandwidth to build it themselves. I write the code. Your team takes ownership at the end of week thirteen.
45 min · no pitch deck · go or no-go
01
How it actually goes
No discovery doc, no roadmap workshop. Three concrete checkpoints.
02
Ground the eval
A runnable eval harness against thirty to fifty real historical examples. By week four, a program your team can run, not a spreadsheet.
03
Handoff is done
Production agent, observability dashboard, runbook, trained internal owner. Your team can run it without me. That is the bar.
02
The framework
A.G.E.N.T.
The work runs on a five-phase method — Anchor, Ground, Engineer, iNstrument, Transfer. Each phase produces a specific artifact. No phase begins until the previous artifact exists. The full method is published, not held back.
03
How this compares to your other options
Honest about where each option breaks.
Pick the one that matches your situation.
| MavenSolutions | Consulting firm | Build in-house | |
|---|---|---|---|
| Engagement shape | One workflow, 90-day fixed-scope build | Strategy + delivery, multi-quarter | Internal hire or team build |
| Time to handoff | 90 days, kickoff to handoff | Multi-quarter, often longer | Open-ended |
| Who builds it | I do, hands-on with modern AI tooling | Junior associates, layered with senior review | Your engineers, learning as they go |
| Eval discipline | Eval set built before the agent | Often skipped, replaced with pilot demos | Depends on internal experience |
| After delivery | Ownership transfers to your team | Retainer or ongoing managed service | Already yours |
| Failure mode | Engagement ends. Agent keeps running. | Heroic dependency on the firm. | First production incidents gaps. |
04
Who this engagement fits
The shape is fixed. We can both save time by being honest about whether it matches what you actually need.
Right fit if
- You have one back-office workflow you want shipped, not five
- You have a competent engineer on your team who can take operational ownership after handoff
- The workflow has at least $100k of annual cost behind it
- You're past the 'should we be doing AI' stage and into 'let's ship one'
Not a fit if
- You're shopping for an AI strategy or capability assessment
- You want a managed service that runs the agent for you forever
- You need someone to recommend which workflow to automate
- The workflow doesn't have measurable cost behind it
05
Who I am
Engineer, not consultant.
I'm Andrew Korolov. Twenty years ago I was one of the engineers who built Magento. After that, I spent fifteen years running a software development agency in the e-commerce space, watching the consulting-versus-engineering pattern fail across hundreds of projects. MavenSolutions is the engagement shape that actually works, applied to the technology that finally makes it possible.
06
Booking confirmation
Three things we'll cover on the discovery call.
01
Walk through the workflow
Inputs, outputs, current human baseline. What "good enough to ship" actually looks like.
02
Confirm 90-day fit
Whether the workflow has a measurable cost, real historical data, and an internal owner.
03
Go or no-go
Either we know based on engagement, or it isn't the right shape.
Book a discovery call
Forty-five minutes
to know if it's a fit.
We'll walk through the workflow you have in mind, confirm whether it fits the 90-day shape, and decide whether to move forward. If it's not a fit, I'll say so on the call.
FreeNo pitch deckGo or no-go on the call