Brief
“Build a customer research workspace with review before outreach.”
An agentic workspace you can shape
Colrow gives people and AI agents the same operating context—records, views, tools, and workflows—so you can build with AI, define what agents can do, and keep proposed changes and consequential actions under visible control.
Build with AI, review with intent
Describe the operating model you need. Build Mode turns it into a structural draft you can inspect, validate, and approve before it changes the workspace.
“Build a customer research workspace with review before outreach.”
✓ Validated
✓ Approved
Tell Build Mode which records, views, relationships, and workflow your operating model needs.
Inspect the server-backed structural draft and its validation before any proposed change is applied.
Approve and apply the draft to the authoring workspace, where the resulting structure stays editable.
Agents with boundaries
Signals can start a typed workflow. A configured agent can reason with allowed tools and context, while validation, roles, approvals, and human input govern the steps that need control.
A record change, schedule, message, form, or manual trigger starts the path.
A configured agent reasons with its assigned role, prompt, model, output, skills, and tools.
Validation, role boundaries, approvals, and human input govern consequential steps.
Update a record, call an allowed tool, or hand the next step to a person.
Context without the chase
Sena uses the same agentic foundation for sales: research and enrichment ground the work, approvals stay visible, and outreach progresses within configured operating guardrails.

Apollo enrichment and saved research ground qualification and outreach.
AI drafts enter Drafts to Review unless configured confidence rules allow progression.
Send windows, daily caps, and do-not-contact checks govern outreach as replies update progress.
One adaptable foundation
Different products can define their own data, interface, agents, and workflows on the same adaptable foundation—without forcing every team into the same experience.
Connect accounts, opportunities, conversations, and follow-ups around the way your team sells.
Sena turns this foundation into a focused sales intelligence and outbound product.
Give hiring, onboarding, reviews, and team operations a shared source of context.
Route requests, ownership, customer history, and resolution through one visible system.
Coordinate recurring work, approvals, handoffs, and reporting without losing the details.
A clearer starting point
What Colrow's agentic foundation does, where Sena fits, and how the same structure can support more kinds of work.
Colrow is an adaptable agentic workspace where people and AI agents work from shared records, views, tools, and workflows with visible controls.
Sena is the focused sales intelligence and outbound product powered by Colrow, with sales-specific language and flows on the same adaptable foundation.
Sena helps teams research and enrich leads, qualify fit and intent, control outbound workflows, and keep conversations, goals and meetings connected.
Yes. Teams can shape the same connected foundation around people operations, service delivery, internal operations, and many other kinds of work.
No. They share strong platform primitives, while each product can define its own data model, interface, intelligence and workflow around a specific outcome.
Start in Build Mode with the operating model you need, review the structural draft, then apply it and configure agents, roles, tools, and workflows.
Make the work your own
Build the structure with AI, configure agents around clear roles and tools, then keep the workflows and controls visible as work moves.
Start building