From strategy to production

Enterprise AI, built around how your business actually works.

Cody combines custom AI agents, trusted knowledge, connected workflows, and production controls into one enterprise solution shaped around your users, systems, and risk profile.

100,000+

businesses trusting Cody

250K+

end users

71B+

tokens handled

82+

countries

Enterprise AI, end to end

One solution from trusted knowledge to real work.

Cody brings the experience, intelligence, orchestration, and control layers together so enterprise AI can do useful work instead of becoming another disconnected tool.

Custom AI agents

Role-specific assistants and customer experiences designed around the people, decisions, and outcomes that matter to your business.

Connected workflows

AI that can work across your tools, approvals, and handoffs instead of stopping at an answer in a chat window.

Trusted enterprise knowledge

A governed knowledge layer that brings together documents, data, and live sources while respecting existing permissions.

Production controls

Access, evaluation, traceability, and human review designed into the system from the beginning, not added after launch.

Enterprise system

One intelligence layer, many jobs

Governed

Built for every audience

Employees
Customers
Operations

Cody orchestration layer

Understand · decide · act

Knowledge
Workflows
Controls

Model-agnostic · deployed to your boundary

Controls built in

Move quickly without giving up control.

Governance is part of the enterprise solution from discovery through operation, giving owners and reviewers a system they can understand, test, and manage.

One accountable control plane
Control

Risk and control mapping

Connect each material risk and obligation to a control, an owner, and the evidence needed to verify it.

Control

Identity and data boundaries

Define who can access which sources, what the system may retain, and where sensitive information is allowed to travel.

Control

Traceability and audit evidence

Capture sources, actions, approvals, versions, and outcomes so reviewers can reconstruct what happened and why.

Control

Evaluation before release

Test quality, groundedness, failure modes, and policy behavior against scenarios that reflect real operational risk.

Control

Human review and escalation

Place approvals and handoffs where judgment is required, with clear fallback behavior when confidence or authority is low.

Control

Lifecycle governance

Monitor performance, review changes, and keep models, prompts, knowledge, and policies under accountable ownership.

How we do it

Governance first. Then workflows, pilot, and production.

We work from the realities of your organization outward, connecting the business outcome to the users, systems, controls, and evidence needed to make enterprise AI operational.

01

Set the governance boundaries

We map risk, decision rights, access, evidence requirements, and the moments where human judgment must stay in control.

02

Map workflows and systems

We study the real user journey, source data, tools, approvals, and handoffs so the solution fits the way work gets done.

03

Pilot with real work

We test a representative experience with real data, users, edge cases, and success measures before a larger commitment.

04

Design the production path

Validated learning becomes the architecture, control plan, ownership model, cost range, and rollout roadmap.

Solution Design Study

Turn the approach into a decision-ready plan.

When the opportunity is clear but the right system is not, a bounded Solution Design Study connects the business case to your real workflows, data, controls, costs, and operating model.

Explore the Solution Design Study
01

Prioritized use case

A focused first result with a measurable business case.

02

System blueprint

Architecture, integrations, data flows, and deployment choices.

03

Working proof

A representative experience tested with real business data.

04

Control and rollout plan

Risks, owners, evidence, costs, and a practical path to production.

Talk to the enterprise team

Tell us what your enterprise needs AI to do.

Start with the business problem, workflow, or risk profile. We will recommend the right enterprise solution and whether a Solution Design Study is the best way to scope it.

A solution shaped around your workflows and systems
Governance and controls designed in from the start
A pilot and production path grounded in real data