Archipath is the AI-of-record for enterprise work. It connects company goals to agent behavior, lets employees turn repeated work into governed skills, and gives leadership a live AI Index with evidence behind every score.
Start with governed AI access. Add a workspace when employees need one place to work. Add agent colleagues when repeatable work needs follow-through. Add institutional AI when company goals, governed skills, approval rules, and proof need to guide every agent.
Routing, policy checks, and audit records are built into the platform. In most cases, names, phone numbers, email addresses, Social Security numbers, and card and account numbers are masked before your company's prompts reach the AI provider. Automatic deployments are operator-hosted. Customer-owned cloud requires a separate deployment and access review. Provider calls and optional integrations have explicit data boundaries.
Automatic provisioning is operator-hosted. Customers provide their model-provider keys. Customer-cloud requirements are assessed separately before deployment.
In most cases, names, phone numbers, email addresses, Social Security numbers, and card and account numbers are masked before your company's prompts reach the AI provider.
Recorded actions include routing and review evidence. New audit records use a local hash chain. Independent checkpoint storage and deployment review are required for stronger integrity guarantees.
5 core guardrails (malware, impersonation, jailbreak, AI disclosure, advice disclaimers) enforced on every request. Add your own via the guided wizard.
Company strategy should not sit in slide decks while AI runs somewhere else. Archipath turns goals, employee-trained skills, agent behavior, and human approval signal into a leadership score that can be tracked over time and inspected action by action.
The current Index measures adoption and governance coverage: recorded workflow references, human review outcomes, strategy context, and audit metadata. It does not prove that an output followed company strategy or that the business achieved a financial return.
Which employee-trained skills are active, used, and shaping future work.
Accepted, edited, rejected, and overridden work shows where AI is trusted.
Agent actions trace back to company, department, and role-level guidance.
Every meaningful action carries structured proof that compliance can inspect.
New candidates, promoted skills, retired behaviors, and drift become visible.
Every employee logs in through your company's branded subdomain, completes a four-step discovery conversation, and starts working with an AI tailored to their role. Behind the interface, every message flows through the governed platform, where it is routed and logged. In most cases, names, phone numbers, email addresses, Social Security numbers, and card and account numbers are masked before your company's prompts reach the AI provider.
A four-step discovery conversation generates a tailored system prompt per employee. The AI immediately works to their specific role, context, and goals.
4 steps · per-user system promptEvery primary AI output can show why it happened: goals applied, skills used, memory consulted, action type, and evidence version.
Inline proof · per-action trace24 built-in routing roles in legal, finance, marketing, and technology, plus general office roles. Each role carries routing context for that work.
24 routing roles · 4 verticalsAdmins set company strategy, department priorities, role standards, and current context. Agent actions carry that guidance into daily work.
Layer 4 · strategy trace13 configurable trigger / condition / action templates — welcome sequences, meeting summaries, weekly digests. No coding required.
13 templates · no codeColors, logo, firm name configurable by the admin — no engineering. Deployed at your subdomain on Archipath, or embedded into your SSO portal.
Admin-configurable brandingArchipath addresses two markets that share the same unsolved AI adoption challenges. The beachhead is professional services — where compliance, precision, and trust are non-negotiable. The larger opportunity is enterprise — where the same problems exist at 100x the scale.
AI adoption is a board-level priority. Archipath is the plan.
Built in from the foundation layer. Hard to replicate on top of an existing stack.
The value is the layer that routes and measures. Not the model. In most cases, names, phone numbers, email addresses, Social Security numbers, and card and account numbers are masked before your company's prompts reach the AI provider.
At 30,000 employees, drift is not inconvenience. It is existential.
The individual features are buildable. The combination — and the sequence — creates the moat.
Hosting, operator access, model providers, and outbound integrations are documented for each deployment. Customer-cloud containment is not assumed.
Audit logging and policy checks support governed work. In most cases, names, phone numbers, email addresses, Social Security numbers, and card and account numbers are masked before your company's prompts reach the AI provider. Source permissions and integration boundaries must also be verified.
Routing and caching provide cost controls. Savings depend on workload, provider pricing, quality, and human review; no fixed savings percentage is promised.
Role workflows persist within the platform. Employee handover still requires deliberate permission and ownership review. Platform-managed capabilities remain part of the service under the agreed export policy.
Executives can inspect recorded strategy context, workflow references, review outcomes, and audit coverage. Business impact and actual strategic alignment require separate evaluation.
AI governance and agent platforms are an active market. Archipath combines company context, repeatable workflows, review, and evidence in one workspace.
Each layer makes switching more expensive. A company using all layers has its goals, skills, proof, role definitions, and institutional knowledge embedded in the system.
Archipath does not bet on one AI provider. The platform routes across Anthropic, OpenAI, Google, AWS. Model changes require quality and compatibility review.
We're working with a small number of professional services firms as design partners: 30–50% off Year 1 in exchange for case-study and reference rights. 30 minutes with the Archipath founding team is the fastest way to see if it's a fit.
Book a walkthrough →Prefer email? info@kyro22.com
Archipath is built by a small team with decades of combined experience in enterprise technology, information security and risk, and in buying enterprise software. We built the product we wanted to buy.