AIdentity AgencyMap the workflow before naming the tool.
We ask where work slows down, repeats, gets lost, or needs judgment. The process teaches us what AI should and should not touch.
Work-to-Proof Studio / AIdentity Agency
Bring the work pressure. Leave with one AI workflow worth proving.
We do not start by selling you AI. We start by mapping the messy, expensive, repetitive, or trust-sensitive work, then prove one supervised workflow before anyone asks you to scale it.
Process before toolsPain before platformHuman approval before actionMeasured proof before scale
01 / Work Pressure Map
Start with what is breaking, dragging, or costing trust.
Choose the pressure you recognize. We will find the first proof worth running.
Keeping up
Too many open loops
Inbox, notes, meetings, follow-up, and planning keep resetting before the real work moves.
First proofOne repeatable assistant that turns scattered inputs into a next-action brief.
Approved AIThe company picked the tool
You have Copilot, Claude, ChatGPT Enterprise, Gemini, Glean, or an internal assistant, but it still does not understand your role.
First proofA company-safe operating profile, prompt pack, and review rules you can use inside the approved system.
Customer promiseThe promise breaks under pressure
Routes, callbacks, ETAs, quotes, and handoffs get risky when weather, capacity, parts, or staffing change.
First proofA supervised board that freezes sensitive actions until an owner approves the recovery plan.
Exception riskMoney leaks between systems
Teams switch between email, spreadsheets, dashboards, customer updates, and partner systems while margin and trust erode.
First proofAn exception brief that ranks risk, drafts options, and separates what AI can suggest from what people must approve.
Founder opsSignals are everywhere
Product ideas, customer feedback, content, backlog, launches, and founder judgment all compete for attention.
First proofA private operating board that turns evidence into recommendations, next actions, owners, and approval gates.
02 / Free first step
Get a useful answer before you spend money on AI tools or a build.
Take the free AI Work Fit Check.
03 / Proof method
Borrowed from the best sales lesson in the video source: diagnose first.
The buyer does not need more AI language. They need the waste, risk, and next action made visible.
Agency product marker
AI Operator signal
Agency work starts with practical workflow value: one useful assistant, one safe handoff, one measurable work improvement.
Make the drag concrete.
Time, missed follow-up, delayed decisions, bad promises, rework, or confidence loss become the value case for the first proof.
Keep humans on consequential moves.
Customer messages, money, policy, safety, data, reputation, and relationship-heavy actions stay reviewed before they leave the board.
Scale only after proof.
A workflow earns expansion when it creates a useful artifact, faster decision, safer handoff, better output, or repeatable time saved.
04 / Case-study routes
Three public-safe examples show the same method in different work contexts.
Each case study now has the same anatomy: pressure, board, approval gate, and proof.
Approved AI
Make the approved system understand how you work
AIdentity translates the user's AI Identity into a company-safe setup pack: operating profile, prompt library, and review gates.
- First board
- Approved AI configurator
- Approval
- Policy gates
- Proof
- Installed and reused
Field Service
Control the promise before the promise breaks
The HVAC prototype shows owner-reviewed dispatch pressure, customer promises, weather, capacity, and slow-period demand loops.
- First board
- Promise tower
- Approval
- Owner-reviewed ETAs
- Proof
- Decision latency
Logistics
Catch exceptions before trust or margin leaks
The logistics prototype ranks load risk, margin pressure, carrier actions, and customer updates in one supervised operating view.
- First board
- Exception tower
- Approval
- Human promise hold
- Proof
- Cleaner recoveries
05 / Services
Start small if you are curious. Go deeper when the proof is obvious.
Pick the step that matches how ready you are.
Diagnose
AI Use Case Blueprint
For people who know AI could help, but want a clear plan before spending on a build.
$1,500
Credited toward a build sprint
- Plain-English use-case diagnosis
- Recommended use case and scope
- Tools, handoffs, and guardrails
- Build estimate and next-step plan
Prove
AI Proof Sprint
For individuals or teams ready to prove one AI workflow against a real work pressure.
$7.5k-$15k
One supervised workflow proof
- One focused pressure map and workflow
- Key tool connections
- Useful prompts, memory, and approval gates
- Training, documentation, and 30 days of tuning
Operate
AI Work Partner
For companies that want someone to keep improving the assistant, workflow, and usage habits after launch.
$2.5k-$7.5k
Per month
- Monthly improvement call
- Monitoring, maintenance, and fixes
- New skills and workflow expansion
- Custom company systems from $15,000+
06 / Proof economics
Pricing follows the size of the work pressure, not the novelty of the AI.
Before a build gets expensive, we make the value case visible.
Value levers
What the proof should be worth.
The calculator belongs in the demo and sales conversation. It should help the buyer tell us the numbers: hours lost, revenue missed, risks carried, and capacity trapped.
15 hrs/week x $35/hr = ~$27k/year
4 missed jobs/month x $900 margin = ~$43k/year
One avoidable failure can justify a proof sprint
10 owner hrs/week can fund the next operating loop
You need the workflow, ROI estimate, scope, and trust boundaries before a build.
One assistant, prompt system, approved-tool pack, or supervised workflow proof.
Vertical or operator board with pressure signals, approval gates, and read-only recommendations.
Multi-workflow Control Tower pilot, adoption support, reporting, and operating cadence.
07 / Operating model
A simple path from “Could AI help here?” to a workflow people actually use.
No jargon. No giant transformation project. Just the next useful proof.
01 / Fit check
Find what feels stuck
You answer a few plain-English questions about the work that is slow, repetitive, easy to forget, hard to hand off, or costing you money.
Free
02 / Blueprint
Turn it into a clear plan
You get a practical blueprint: what AI should help with, what it should not do, what tools it needs, and what success looks like.
$1,500
03 / Sprint
Prove the first workflow
We build or configure one supervised workflow, test the handoffs, and measure whether it creates visible work value.
2-4 weeks
04 / Improve
Make it better over time
Once the assistant or workflow is live, we tune what is working, fix what is not, and add the next useful capability only when it is earned.
Monthly
08 / Tools
We start with your real stack instead of forcing a new one.
Connects to the tools you already use.
GmailGoogle CalendarSlackStripeNotionHubSpotTwilioServiceTitanHousecall ProJobberAirtableQuickBooksZapier
Start here
Still not sure what AI should do for you?
That is exactly the point. Take the free Fit Check, get a starting point, and decide whether a Blueprint, Proof Sprint, or Control Tower proof makes sense.
HVAC operators
Run a residential or light-commercial HVAC business?
See the HVAC AIOS case study.
The prototype shows how a Control Tower could protect dispatch during storm days, then shift into prospecting, retention, and capacity-filling work during slower periods.