Tensile AI

Book a call

New, with Accorian: a real-time AI governance framework for control drift in enterprise AI.

AI agents in production

We build AI agents that hold up in production.

And we keep agents reliable once they are live, whether we built them, your team did, or a vendor did.

AI-native finance SaaS

FP&A accuracy: about 60% before; 95% stated after, about 90% measured

~90% measured

90+ regression scenarios

US commercial real estate

$20M modeled 10-yr NOI/NPV

six fragmented sources unified

every dollar traceable

Delivered breadth, anonymized

finance

education + manufacturing

agritech, insurance, FP&A, cybersecurity

The problem

Most AI agents fail quietly.

An agent rarely crashes. It skips a tool, gives a confident wrong answer, or breaks one of your rules, and nobody sees it until a customer does.

Stuck before production.

Agent projects stall when nobody can show the agent does the job every time it runs.

Silent failures.

In production, agents fail without an error. Uptime stays green while the task goes wrong, and no single log line shows it.

Reputation and regulatory risk.

One bad output in a regulated workflow becomes an incident, an exam finding, or a headline.

Industries

Deepest where one wrong answer costs the most.

Finance, insurance and real estate come first. Our delivery record also covers healthcare, manufacturing, agri-food and education.

How we work

Build it, hand it over, keep it reliable.

Understand.

We learn the work the agent has to do, what done right means, and the rules it has to follow.

Build.

We build the agent into your systems and measure it against that definition of done right.

Hand over, then run.

Your team learns to own the agent. Our platform keeps reading it in production, so each failure surfaces with its root cause.

Senior pod

one lead architect, scope to handover

Measured

agents assessed using their production traces

Yours to keep

the operating loop transfers to your team

The proof

What we delivered, with the qualifiers kept honest.

95%

FP&A accuracy · stated (~90% measured)

144%

net revenue retention · finance-SaaS customer, alongside the reliability work

$20M

NOI / NPV uplift · modeled

90+

regression scenarios · eval gate

Stated, not an audited fact. Modeled, not realized. The discipline we sell is the discipline we hold ourselves to.

Build and run

Start with one call.

Maybe nothing is built yet, or your agents are already live and failing quietly. Tell us which, and we will show you where to begin.