Companies

Deploy Cognitive Agents Across Your Business.

Turn your operating model into governed AI across Pre-Sales, Support, Customer Care and Training. Powered by the IAYS Cognitive OS, teams get operational clarity without heavy replatforming.

Start with one workflow where inconsistency is costly (refunds, pricing, escalations, onboarding).

IN ACTION

See governed AI run a real workflow

Apply your operating model - with traceability, policy enforcement, and safe escalation.

Customer request

AI Customer Support Manager
Need a refund for invoice #8821. I was billed after canceling.
I can help with that. Let me verify your account and policy eligibility.
Approved. Refund will post in 3-5 business days.

Governed execution (Trace)

  • Used: Refund Policy v3
  • Used: Billing Playbook v2
  • Checked: Account status
  • Action: Refund approved
  • Escalation: Billing team
  • Logged: trace metadata

Operational outcomes first, Cognitive OS underneath.

Reduce ticket volume, standardize reasoning, accelerate onboarding, and maintain compliance while scaling Cognitive Agents across core workflows.

Reduce ticket volume

Deploy Cognitive Agents into high-volume support and care workflows to resolve repeatable requests faster.

Standardize reasoning

Apply one structured operating model across teams so decisions and outputs stay consistent.

Accelerate onboarding

Use your encoded operating model to train new team members with consistent, guided answers.

Maintain compliance

Enforce boundaries, escalation behavior, and policy-aware outputs from day one.

What you can deploy in a focused pilot

  • 1-2 agents for a single high-value workflow
  • A scoped workflow with clear handoff points
  • Initial doctrine for claims, boundaries, and escalation
  • First traces to review behavior and iterate safely

What we need from you

  • Current docs, playbooks, or response templates
  • Rules, boundaries, and escalation expectations
  • Examples of strong outputs your team trusts
  • Examples of weak outputs to avoid

Governance you get day 1

  • Policy boundaries for what agents can and cannot claim
  • Escalation behavior for uncertainty and edge cases
  • Trace and audit trail for reviewable outputs
  • Versioning and rollback for controlled updates

Works with your existing stack

Start from one workflow. No replatforming.

ZendeskIntercomHubSpotSalesforceSlackNotionGmailJira

Pilot rollout phases

Typical timeline depends on workflow complexity.

Phase 1 - Scope + success criteria

  • Define one workflow and owner
  • Set measurable success criteria
  • Align operating constraints

Phase 2 - Structure boundaries + escalation

  • Define policy boundaries
  • Configure escalation thresholds
  • Validate edge-case handling

Phase 3 - Shadow-mode + review traces

  • Run controlled shadow-mode tests
  • Review traces and decision quality
  • Refine criteria and escalation logic

Phase 4 - Go-live + monitoring

  • Launch governed workflow
  • Monitor outcomes and escalations
  • Plan the next scoped rollout

Pilot with a focused scope

We prioritize teams that can provide clear workflow ownership, fast feedback, and concrete success criteria.