Three ways to get governed AI in production.
Agentic Teams run on top of your CRM. Services run as scheduled control loops. Custom AI Solutions ship when the package menu does not fit. Same governance underneath.
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; tracks how AI describes you and corrects drift.
explore →When the package menu does not fit. Founder-led scoping, in-tenant build, optional operated retainer. The delivery motion behind every package.
explore →Pick the layer that matches the work.
Your sales motion needs hands.
Six agents map to roles you would actually hire. You bring the pipeline; we draft, you approve, the system audits.
Your AI presence is drifting.
Scheduled audit/draft/approve/publish loop. AI Brand Presence keeps how AI engines describe you on-message and current.
Your workflow is yours alone.
Two-week scoping sprint, in-tenant build, optional operated retainer. The package menu does not fit; the delivery motion does.
Three ways to commit.
Pricing is a truth registry entry, not a negotiation opener. Public dollar ranges per package on the pricing page.
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.
Tell us what to build.
Describe the workflow. We will write the scope. Serious inquiries, structured engagements.
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