Build an AI workflow in one month.
We find the one workflow in your business where AI creates measurable value, then design, build and deploy it end to end in four weeks. No platforms. No headcount. One outcome.
- 01Pulled 42 orders from Shopify
- 02Read 3 sheets, 1,204 rows
- 03Reconciled 3 sources, 2 conflicts flagged
- 04Draft sent to J. Kim for approval
- 05Approved with 1 edit
- 06Report delivered to #ops and PDF
4 min
3 h 40 min
- Team
- Engineers who deployed AI at KRAFTON and Pacvue
- Scope
- One workflow, one owner, four weeks
- Reply
- Within two business days
Built by AI natives. Delivered as a working system.
Every member holds two to three years of enterprise AI project and research experience. We don’t sell software or reports. We embed with your team and deliver one working workflow at a time.
A flexible, project-based studio. A focused team forms around each client problem: three people, one workflow, four weeks, then we hand it over.
- 1
Deployment AI Strategist
Works with business owners to define the workflow, success metrics and value.
- 2
Deployment Engineers
Design, build and deploy the working system end to end.
Not a report. Not a generic tool. A working system.
- Deliverable
- Large consultancyReport, strategy
- Generic SaaSGeneric features
- MemoriaWorking custom system
- Speed and cost
- Large consultancySlow, expensive
- Generic SaaSFast, cheap
- MemoriaFast, reasonable
- Fit for your team
- Large consultancyLow
- Generic SaaSMedium, often abandoned
- MemoriaHigh, we deploy and operate
| Large consultancy | Generic SaaS | Memoria | |
|---|---|---|---|
| Deliverable | Report, strategy | Generic features | Working custom system |
| Speed and cost | Slow, expensive | Fast, cheap | Fast, reasonable |
| Fit for your team | Low | Medium, often abandoned | High, we deploy and operate |
Small scope, measurable outcome.
Five stages, four weeks. Every stage ends with something you can look at and judge for yourself.
- Week 0
Qualify
Confirm the workflow is repeatable, owned, measurable and safe to scope inside four weeks.
- Week 1
Mapping
User interviews, current-state workflow map, baseline metrics, target design.
- Week 2
Build
Data connection, AI logic, workflow integration, a human approval step, logging.
- Week 3
Test
Two to five real users run it. Accuracy, reliability, time saved, failure modes.
- Week 4
Deploy
Impact review against the baseline, then deploy, iterate or stop.
- 01A working AI workflow
- 02ROI and evaluation against a measured baseline
- 03Documentation and handoff
- 04Recommended next steps
- 01One business owner
- 02Sample documents, data and access authorization
- 03A weekly 30-minute check-in
Pilots are capped at one workflow and five users by contract. That is what keeps a four-week promise honest.
It starts with a 30-minute call.
No deck, no pitch. Bring one workflow that feels too manual, too fragmented or too slow, and we’ll translate it into a pilot scope.
- Before the call
We review your team, likely workflows and one candidate pilot hypothesis.
- During the call
We identify one high-friction workflow, current tools, users, risks and data-access constraints.
- After the call
You receive a one-page pilot proposal with scope, timeline, expected outcome and required inputs.
Session agenda
- 01Pick one candidate workflow
- 02Map the current process
- 03Identify users and data
- 04Define the pilot outcome
- 05Decide whether a four-week pilot is worthwhile
- What recurring work still happens manually?
- Which update, report or search task creates the most friction?
- Who owns the workflow today?
- What would make a pilot successful in 30 days?
One workflow. One owner. One measurable outcome.
Tell us the workflow you’d most like to stop doing by hand. We’ll come back with a one-page pilot proposal: scope, timeline, expected outcome and required inputs.
- A reply within two business days
- A 30-minute call, no deck, no pitch
- A one-page pilot proposal afterwards