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We turn your business into an AI-powered business.
IAW is an AI operating system provider. We build an AI OS for each industry: a team of AI agents that works like your staff and runs the work end to end. Mercury OS for service businesses comes first. We start with one workflow, prove the result in production, then grow it into the whole operating system.
The IAW universe
A world of AI operating systems.
Each IAW operating system is a team of AI agents built for one industry. The agents work like your staff: they take care of many activities end to end and do the work of several roles, so the whole business runs as an AI-powered business. We build one industry at a time, on the same engine.
01 · Focus nowMercury OSService businessesLive
02Rockets AI OSUniversitiesLive
03Donna OSLaw firmsComing soon
NextMedix OS & moreHealthcare, real estate and other industriesLater
Priced on results
No result, no pay. Every IAW operating system is priced per result, such as a qualified meeting booked. We agree in writing what counts as a result before we start. You pay for the results it delivers, and a month with no result costs you nothing.
01 / The IAW product architecture
From one agent to the whole organization.
We build AI in five levels. Each level is made of the one before it, so the first agent you buy is the first brick of your AI infrastructure.
Level 1 / 5AI Agent
-
Level 01 Available now
AI Agent
One worker.
An agent owns one task end to end. It reads, decides, acts and logs every step, so a person can check its work.
Example Prior Authorization AgentSee the agents -
Level 02 Available now
AI Solution
Multiple agents and a workflow.
Several agents joined in order, with hand-offs, checks and a human sign-off where the decision matters.
Example Prior Authorization SystemSee a solution -
Level 03 Available now
AI Product
A repeatable product.
A solution packaged to repeat, with users, billing, support and updates, so the next customer gets it configured instead of rebuilt.
Example IAW HealthcareSee IAW Healthcare -
Level 04 Next
AI Function
Multiple products.
Several products sharing one memory, so a whole department runs on AI that knows the same customer.
Example IAW Revenue: sales, marketing and customer success -
Level 05 The destination
AI Infrastructure
The entire organization.
Every function on one intelligence layer, governed and secured, connected to your data and the right model for each job.
Example Sales, marketing, finance, HR and operations on IAWSee the infrastructure
02 / How it grows
From one business problem to your AI infrastructure.
Every IAW build starts with one problem that costs you money. Each level is built from the one before it, so the first agent is the first brick of your company’s own AI.
01
Business problemA backlog, a missed call, a slow approval
02
AI AgentsOne worker that owns one task
03
AI SolutionsAgents joined into a workflow, with sign-off
04
AI ProductsRepeatable for your industry and your teams
05AI Functions
SalesFinanceHR
06AI Operations
Support
07
AI InfrastructureEvery team on one intelligence layer
IAWYour own AI, built, run and measured for you
03 / IAW AI Infrastructure
One intelligence layer under every team.
This is the destination. Every department runs on the same context, agents and workflows, governed from one place and built on your own data.
IAW AI INFRASTRUCTURE
Sales
Marketing
Finance
HR
Ops
IAW IntelligenceThe shared brain. Every agent reads from it and writes back to it.
ContextWhat the business knows: customers, policies, history.
AgentsThe workers that act on it.
WorkflowsThe order things happen in, and who signs off.
04Governance layerWho can do what. Evals, audit trails and human approval.
03Identity & SecuritySingle sign-on, roles, encryption and access logs.
02Data & IntegrationsYour CRM, EHR, ERP, inbox and files, connected once.
01Model layerThe right model for each job, swappable without a rebuild.
05 / The gap we close
Most enterprise AI never leaves the demo.
The hard part was never the prototype. It's the last mile — the evals, the drift, the audit trail, the human in the loop. That last mile is the entire business, and it's where almost everyone stalls.
88%
of AI proofs-of-concept never reach production · IDC, 2025
12%
of AI projects make it to production
73%
of AI spend fails to show clear ROI
$665B
enterprise AI spend in 2026
THE WEDGE
The 12% who ship don't have better models. They have better discipline about production.
06 / Four principles
How we think about shipping AI.
Four commitments shape every engagement. They are the difference between a clever demo and a system your operators trust on a Monday morning.
FOCUS
Vertical, not horizontal
We go deep into one workflow in one industry instead of selling a generic copilot to everyone. Depth is what makes an agent reliable enough to trust with money, compliance, or patient data.
underwriting · claims · intake · prior-auth
DISCIPLINE
Production-first
Evals on day one. Drift monitoring, audit trails, and human-in-the-loop tooling before launch — not bolted on after.
- Evals. graded against ground truth
- Drift. watched continuously
- Audit. every action logged
- HITL. escalation by design
INCENTIVES
Outcome-aligned pricing
Where the metric is unambiguous, we price to it. When you win, we win. We don't get paid to run a pilot forever.
fixed scope → ROI target → % of value
PROOF
We eat what we cook
We've shipped 9 of our own AI products to real users. We know what breaks in production because it has broken on us.
9 in-house apps shipped
07 / How a sprint runs
One workflow. Twelve weeks. In production.
01 · Weeks 1–2
Find the workflow.
We pick one workflow and measure everything. The baseline comes before the model.
02 · Weeks 3–4
Build the spine.
The agent runs end-to-end on your real data. Every change is scored against ground truth.
03 · Weeks 5–10
Beside your team.
It works beside your people, decision for decision, until it earns their trust. Every step audited.
04 · Weeks 11–12
Go live.
Production, with a measured target and drift monitoring. Then the next workflow.
07 / How a sprint runs
One workflow. Twelve weeks. In production.
01
Find the workflow · weeks 1–2
We pick one workflow and measure everything. The baseline comes before the model.
02
Build the spine · weeks 3–4
The agent runs end-to-end on your real data. Every change is scored against ground truth.
03
Beside your team · weeks 5–10
It works beside your people, decision for decision, until it earns their trust. Every step audited.
04
Go live · weeks 11–12
Production, with a measured target and drift monitoring. Then the next workflow.
08 / On the record
Our guarantees, in writing.
Three promises. Every contract.
The Map
Finds value, or it’s free.
If the Readiness Map doesn’t surface a workflow worth $200K a year (SMB) or $500K (mid-market and up), you don’t pay.
The Sprint
We hit the target, or keep working.
Miss the ROI target we set together and we keep working at no additional fee for up to 60 days.
Operations
Capped, in writing.
Every value share carries a written annual cap, agreed before you sign. SMB plans cancel anytime.
09 / Where it applies
Built for work where mistakes are expensive.
The method earns its keep where mistakes are expensive and every decision needs a paper trail. A few of the workflows we ship most often:
INSURANCE
Underwriting triage
Read submissions, score risk, and route the clear cases — with every rationale logged for audit.
Learn moreINSURANCE
Claims adjudication
Extract, validate, and flag claims for review, cutting cycle time without losing the human sign-off.
Learn moreHEALTHCARE
Prior authorization
Assemble the packet, check policy, and draft the determination with a full citation trail.
Learn moreLEGAL
Contract review
Surface off-standard clauses against your playbook and route exceptions to counsel.
Learn more
Find the one workflow worth shipping.
Start with an AI Readiness Map. In two weeks we score your data, process, and integration readiness and hand you a board-ready brief naming the workflow to build first. If it doesn't surface one worth $200K a year (SMB) or $500K (mid-market and up), we refund it.