Governed AI workflows for high-trust teams.
DK1.AI builds AI systems that classify, draft, route, audit, and version real work. Your people approve. The system remembers.
Start with a pilot, not a platform rollout.
For lead intake, prospect intelligence, deal follow-through, CRM updates, and human-approved sales workflows.
Scope a Sales Team 6 Pilot →For internal workflows — shared inboxes, order management, dashboards, approvals, reconciliation, and recurring reports.
Scope an AI Ops Team Pilot →For workflows that need technical discovery before a pilot or custom build.
Start a Scoping Sprint →For auditing and improving how AI engines describe your company.
Start AI Brand Presence →Role-aligned six-agent cohorts that draft customer-facing work behind a single human approval gate. Sales Team 6 ships now; AI Ops Team is in early access.
explore →Asynchronous control loops that audit, draft, route to a human, and publish — repeatedly. AI Brand Presence is the first; it tracks how AI describes you and corrects drift.
explore →When the package menu doesn't fit. Founder-led scoping, in-tenant build, optional operated retainer. The delivery motion behind every package.
explore →For operators who ship.
Small teams. High standards. No time for theater.
You're running lean. Founder, operator, independent consultant, law firm, or family office — the headcount is small, the standards are high, and the clock is real.
You've sat through the generalist advisory pitch, the slide-deck AI demo, the pilot that never made it past QA. You're not here for that. You want governed systems that work, with a kill switch you control.
Teams over skills, skills over governance.
Six agents per team, mapped to roles you would actually hire. One leader convenes a win room when work is strategic or stuck.
- ›Role-aligned cohorts
- ›Single approval gate
- ›Win-room escalation
Every skill is backed by structured facts and approved exemplars. AI classifies, drafts, recommends. Rules route, permission, and approve.
- ›Versioned facts
- ›Reviewed exemplars
- ›Deterministic routing
Sessions, immutable audit log, RBAC, policy versioning, kill switch. The layer that makes the rest enterprise-deployable.
- ›In-tenant deployment
- ›Per-client kill switch
- ›Immutable audit
From scope to deployed system.
Two to four weeks. Diagnose the workflow. Identify the AI vs deterministic split.
One real pursuit end-to-end. Skills exercised on your data. Founder-direct approval.
Ship to production in your tenant. Approval gates and audit on every customer-facing write from day one.
Optional retainer. We operate on your data with governed access, or hand the runbook to your team.
Governance, not afterthought.
No demos. No POCs that die. Real systems, real users.
Every customer-facing draft routes through a named human reviewer before it sends.
Versioned, reviewed, citable. AI classifies; rules route.
Per-client and global. Halts the system on incident or legal hold.
Five things you keep control of.
Runs in your AWS, Azure, or GCP. We never copy customer data into ours.
Customer data is never used to train models.
Every customer-facing send routes through a named reviewer before it goes.
Every read of regulated data and every write is recorded; client can export on request.
Halts agents on incident, legal hold, or platform-level emergency.
Three ways to commit.
Tell us what to build.
Describe the workflow. We'll write the scope. Serious inquiries, structured engagements.
Start a conversation →