How we engage

Forward-deployed experts who build your AI foundation.

We embed with your team, build the digital workers around how you actually work, and train your people to lead with them. We build it. You own it. Chiri scales it.

How we engage

We plug in however you need us to.

Three ways in, mapped to where you are with AI today.

AI Adoption

Greenfield · Getting started

Need help getting started?

We assess your workflows, design your human and digital operating model, and deploy digital workers into the systems you already use. Tied to outcomes, not pilots.

  • Workflow assessment and gap analysis

  • Human + digital operating model design

  • Digital worker deployment into existing tools

  • Tied to outcomes, not pilots

Best for companies with no AI in production yet

AI Optimization

Brownfield · Already deployed

Already deployed AI that is not paying off?

We audit what you built, govern the sprawl, and re-engineer your stack into a workforce that delivers.

  • AI audit and sprawl mapping

  • Governance layer implementation

  • Stack consolidation and re-engineering

  • ROI measurement and reporting

Best for companies with scattered AI tools and no governance

AI Software Engineering

Embedded · Ship it

Need to ship?

We embed AI-native engineering pods to unblock projects, ship MVPs, and train your team in agentic engineering, inside your stack and your constraints.

  • AI-native engineering pod embedded in your team

  • MVP unblocking and accelerated shipping

  • Agentic engineering training for your developers

  • Handoff with internal capability built

Best for engineering teams with stalled projects

How we capture the work

Show us once. We build the rest.

The hardest part of AI adoption is not the software. It is capturing how the work actually gets done.

We identify how work gets done today and translate it into a schema that is AI-native. We map where humans should work and where agents should work. That mapping becomes the foundation of your ontology, the company's second brain, and it compounds the longer you run it.

Record once, steps extracted automatically

Map human work vs. agent work

Build into your ontology as a permanent asset

The first foundational step to AI-native

The full picture

From legacy processes to an AI-native company.

The platform · Integration & governance layer

You keep building. We make it all work together.

Work out of Chiri, or keep working in your own tools and we run underneath. Either way you own the build, and we make it hold together, governed and permissioned.

Without a layer

Fragmented AI compounds.

Every team buys its own AI. Nobody owns the whole.

Permissions and PII get harder to control as it spreads.

Maintenance becomes a second job, pulling focus off revenue.

With Chiri as the layer

One governed layer over it all.

One permissioned layer across every tool and model.

Institutional knowledge documented, shareable, referenceable.

Work in Chiri or your own tooling. We integrate either way.

A rising tide that lifts your whole stack. You stay the builder. We make the build hold.

Embedded teams

We embed by function.

GTM

Problems we own

  • Pipeline generation

  • Deal intelligence

  • Rep enablement

  • Forecast accuracy

What we build

  • Prospecting agents

  • CRM enrichment

  • Competitive intel

  • Pipeline health monitors

Engineering

Problems we own

  • Slow shipping

  • Context-switching

  • Test coverage

  • Onboarding friction

What we build

  • Code review agents

  • Documentation bots

  • Test generation

  • PR triage

Finance

Problems we own

  • Manual reconciliation

  • Slow close

  • Scattered spend data

  • Reporting lag

What we build

  • Reconciliation agents

  • Spend monitors

  • Automated close checklists

  • CFO dashboards

People

Problems we own

  • High-volume screening

  • Slow onboarding

  • Policy questions

  • Retention signals

What we build

  • Screening agents

  • Onboarding bots

  • HR policy assistants

  • Engagement monitors

How to work with us

Ready to get started?

Tell us where you are with AI today and we'll map the right path forward.