AI-Native Operating Team

We build an agent workforce.
Then let your experts manage it.

Agents hold the roles. Humans hold the judgment. We build it fast, on your stack, and hand it over.

Model a company in 2 minutes See it in production How it works
→ $60M+ documented savings → 92%+ CSAT at scale → 3 years in production → Agents hold the roles → Humans hold the judgment → CEO manages outcomes, not headcount → SME on exception only → We build it fast → You run it on the platform → Every deployment compounds → $60M+ documented savings → 92%+ CSAT at scale → 3 years in production → Agents hold the roles → Humans hold the judgment → CEO manages outcomes, not headcount → SME on exception only → We build it fast → You run it on the platform → Every deployment compounds
See it run

Sixty seconds.
Build to handoff.

How a workflow goes from labor to an agent workforce your team runs.

Proven in production

We didn't advise on this.
We built it and ran it.

Three years. Enterprise scale. Not a pilot.

Documented savings
$60M+
Atlassian customer support
Customer satisfaction
92%+
CSAT held as throughput scaled
Time in production
3 yrs
Enterprise scale. In production.
The playbook
1×
Built it and ran it. Not a pilot.
The workflow
Intake → triage → research → knowledge → close.
The SME gate
Flagged cases only. Headcount flat.
The compounding layer
Self-healing knowledge base. Every case compounds.
Why it transfers
Legal, RCM, underwriting, M&A, compliance. Same architecture.
"We didn't advise on this. We built it and ran it."
The operating model

Not AI tools.
A human-agent workforce.

Three roles. No overlap. No drag.

Agents
Hold the roles
Skill bundle. Quality bar. Every output challenged before it ships.
Humans
Hold the judgment
The expert is a phase, not a bottleneck.
You
Manage outcomes
Not cadence. Not headcount. Exceptions only.
→
We build it. You run it. The platform keeps it current.
The optimizer platform

We build it.
You run it.
That's the scale.

The difference: your own team runs it. Your operators manage the agent workforce and handle multiples more volume, judgment only. We build on your stack, hand over the autonomy with no engineer camped in your system, and maintain the platform underneath.

01
We map
Embed. Find the highest-leverage workflow.
02
We build the workforce
Specialist agents. Review loop. SME gate.
03
We run it to autonomy
Full audit trail. Run to autonomous.
04
We hand you the platform
Autonomy in your hands. No engineer left in your system.
05
You scale it
Each deployment faster. Portfolio compounds.
Proven in production
Optimizer · Operator
Legal ops · Portco 01
MR
Maya R.
Ops associate · manages 5 agents
● On shift
2.6×
Her throughput
94%
Run by agents
3
Need her call
Agents she manages · contract review
1
Intake & triage
Running
2
Clause extraction
Running
3
Risk review
Needs you
4
Redline draft
Tuning
5
Approval routing
Running
Her day
3 items routed to Maya for judgment. Her agents cleared the other 4,000 this month — she steers, they execute.

One platform, three seats — your operators run the agents, your leaders watch the optimization, your investors watch the portfolio.

What we automate

Volume, a rubric, a human gate.
That's the test.

The work has to repeat, run on a rubric, and wait on a human call. Not every workflow qualifies, and we'll tell you which to skip. Same architecture, different skill bundles.

Legal
Legal & claims ops
Triage, brief, draft, counsel review, sign-off, file.
Insurance
Underwriting
Source, diligence, model, committee review, term sheet.
Healthcare
Revenue cycle
Intake, coding, claim, appeals, record.
Technology
Software development
Plan, build, validate, deploy.
Transactions
M&A diligence
Data room, memo, expert call, IC review, bid.
Compliance
Audit & filings
Intake, evidence, draft, partner review, file.
Why now

Tools didn't fix it.
The workflow did.

Copilots didn't change how teams work
Faster typing. Same handoffs. Same bottlenecks.
Headcount can't scale with volume
Every spike is a hiring cycle. Or a backlog.
The work is repetitive, and it's everywhere
Triage. Draft. Review. File. The same loop, all day.
The human-agent model is the new standard
Agents hold the roles. Humans hold the judgment. The structure, not the tools.
Why this is hard

AI isn't software.
It can't be shipped like one.

Built like SaaS, it breaks
Onboarding assumes clean inputs. Your value is buried in messy internal data and systems.
The usual fix doesn't scale
Forward-deployed engineers camp in your stack until it runs. Then they can't leave.
And it drifts after launch
Staying accurate means an ML engineer on payroll, indefinitely.
We deploy in place, then keep it current
Built where your data already lives. No crew in your building, no ML hire. The platform holds the bar.
How we engage

We build it.
You run it.

One workflow at a time. Get in touch and we'll scope the first one with you.

Build
On your stack
We build the workforce in your systems, one workflow at a time.
Hand off
Autonomy to you
We hand over the autonomy. No engineer camped in your system.
Ongoing
We maintain, you manage
We keep the platform current. Your SMEs manage the agents.
The team

Built by people who
ran it in production.

Built it. Ran it. Now we deploy it inside your operation.

Nisha Iyer
CEO & Co-founder
$60M+ delivered at Atlassian. Six AI patents.
Pri Oberoi
Chief AI Officer & Co-founder
Patent-holding ML engineer. Knows where agents break. Builds for it from day one.
Dangaia Sims
COO & Co-founder · PhD
Engineering and data science ops. The loop stays running.
For value creation teams

Your LPs are asking.
Answer with a number.

The AI question shows up in every DDQ now. Most answers are a policy statement. Yours is a number.

The DDQ answer
LPs ask the AI question in DDQs now. The answer is a number, not a policy statement.
The hold-period clock
Savings captured in year 2 compound through exit. In year 5 they're a footnote.
The equity math
$2M of EBITDA at an 8x exit is $16M of equity value. One portco, one workflow.
What you actually buy
No new headcount. No 18-month transformation. No engineer camped in your system. A platform your team owns, not a tool you rent.
Put a number on your portco →
Walkthrough

What are you leaving
on the table?

A full walkthrough of the optimizer your team runs after handoff, and the cost it takes out.

Get started

Ready to put your
back office on the platform?

Worth 30 minutes to find the first workflow?


Get in touch → Run the savings model →