We find where AImoves your P&L.Then we make it real.

For mid-market companies under pressure to make AI count: we map the opportunities against your numbers, build the agents, and measure what they move. Margin, working capital, hours.

Book a first call See the work

Built by operators trained at

Copying the human process into an agent is not transformation.

It's automating the problem as it stands. The real unlock is redesigning the process before building the agent.

How we work

One process at a time. Numbers from week one.

Map

Everyone tells you to implement AI. No one tells you where. We sit with your team, map how the business actually runs, and rank the opportunities: each one with its investment, expected return, and timeline.

So investing in AI stops being an act of faith.

You leave with the Opportunity Map, yours to execute with us or without us.

Build

We take one concrete, painful process from the top of the map and put an agent on it, wired into your real systems and measured from day one. What got automated, what it saved, what failed. No metrics, no phase two.

You leave with a working agent in production, and a scoreboard.

Scale

What worked expands to more workflows and more teams. We train your people inside their real work: office hours at their desks, not webinars. A license alone transforms nothing. Transformation is when the tool connects to a real process and replaces real work.

You leave with a team that runs on agents, on the tools they already use.

A small agent that works beats an 18-month roadmap.

Where our agents are already working.

Retail

Dynamic pricing, large catalogs, real-time inventory decisions.

+5pp

gross margin with dynamic pricing

Finance

Month-end close, accounts payable, reconciliation: without the manual analyst layer.

Day 20 → Day 5

month-end close, same team

Inventory

Working capital trapped in dead SKUs, plain-language visibility across ERP and purchasing.

2 months

of working capital found in dead inventory

…and any repeatable, data-heavy workflow

Proof, not decks

Real engagements. Real metrics.

Every case below moved a named line: margin, working capital, response time, or hours freed up.

Short-term rental operator

74% of guest inquiries resolved, no human in the loop

Conversational agents that cover every channel 24/7, qualify prospects, and quote in real time without depending on team availability.

74%

of guest inquiries resolved without a human

5 min

response time, down from 3 hours

+21pp

conversion from inquiry to confirmed booking

Accounting firm & retail finance team

Gross margin from 40% to 66% by replacing the analyst layer

Autonomous agents running full finance processes with minimal human intervention: month-end close, accounts payable, expense reconciliation.

40% → 66%

gross margin after replacing the analyst layer

Day 20 → Day 5

month-end close, same finance team

B2B marketplace, 10 cities

Five points of gross margin from dynamic pricing at 500+ SKUs per city

500+ SKUs per city. We built the full stack: daily competitor price scraping, an elasticity engine, category and city pricing rules, automatic updates at scale.

+5pp

gross margin

80%

reduction in hours spent on manual pricing

Growing retailer