Features

AI agent features for setup, workflows, and approvals

DeckCrew combines guided setup, shared knowledge, approvals, workflows, and operator visibility so teams can use role-based AI agents for real business work without turning into AI operators.

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Bridge Dashboard

Real-time visibility into your agents

The Bridge is your control surface. See what every agent is doing, review actions, and track trust metrics — all in one view.

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Recent Activity Live

Trust Metrics

Approval Rate good 94% 47 / 50 approved

Auto-run Success good 97% 23 / 25 completed

Rollback Rate good 0.4% 1 / 242 actions

Tool Denial good 1.2% 3 / 242 denied

Resolve Time good 2.3s median response

Under the hood: real-time WebSocket streaming, per-agent execution telemetry, soul management, and continuity attribution across memory lanes.

Explore DeckCrew in more detail

See how DeckCrew handles company knowledge, approvals, and shared memory across the product.

AI agents for business

See the full role-based product story for support, sales, development, website, and content work.

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AI agent from website

Go deeper on one way DeckCrew can turn business material into useful agent context.

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AI agents with approvals

See how DeckCrew handles draft-and-approve workflows for risky actions.

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AI agents with shared memory

Understand the logbook model and why shared context matters across roles.

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Guided setup

Create a role-based agent without starting from scratch

DeckCrew should help a normal team create a useful agent quickly. Start with a role, use company context, and get to the first real task without getting buried in technical setup.

Role-first setup Start with support, sales, development, website, or content.
Plain-language onboarding The wizard shapes the agent without forcing the user to think about infrastructure first.
Fast first value The product is designed to get to one useful result quickly, then expand from there.

AI-guided setup combines shared business context, role templates, and generated agent configuration so the default path stays simple while the underlying runtime stays structured.

Knowledge

Your agents share a living company knowledge base

DeckCrew becomes more useful because agents work from shared company context instead of isolated prompts. Uploaded files, imported business material, and saved playbooks all feed the same knowledge layer.

Shared business context Agents start from real company knowledge instead of empty prompts.
Document uploads PDFs, notes, and internal material can be added to the same shared source of truth.
Saved work patterns What works can be captured and reused instead of rediscovered every time.
Role-scoped access Each agent can use the right knowledge without inheriting everything.

Persistent shared logbook, role-based read and write policies, retrieval over imported and uploaded material, and saved runbooks that help future tasks start from proven context.

Governance

Approvals before risky actions

AI becomes more usable when it can do most of the work without forcing the team to trust every action blindly. DeckCrew lets agents draft, suggest, and prepare while keeping high-impact steps reviewable.

Approval gates Customer-facing and other high-impact actions can stay in draft until someone confirms them.
Clear audit trail See what the agent prepared, what ran, and what a human approved.
Scoped trust Not every user or role needs access to every tool or action.
Operational clarity Review decisions with the right context instead of guessing what the agent did.

Per-tool approval gates, identity-scoped action trails, trust-gated capabilities, and execution telemetry tied to specific agent runs and review steps.

Automation

Workflows that run themselves

Once one agent is useful, DeckCrew should help the team turn repeat work into workflows. That includes scheduled check-ins, recurring reporting, and proactive monitoring without constant manual prompting.

Workflow templates Turn repeatable business work into reusable agent-driven flows.
Scheduled tasks Run recurring checks, reports, and nudges on a predictable cadence.
Proactive monitoring Let agents watch for changes and surface what actually needs attention.

Workflow templates, scheduled-task execution with intervals and quiet windows, and proactive presence logic for recurring and attention-based agent activity.

Intelligence

Agents that learn what works

DeckCrew gets better over time because knowledge, patterns, and past outcomes can compound. That makes the next task easier to start and easier to trust.

Memory continuity Useful context can carry across sessions instead of disappearing after one chat.
Pattern reuse Successful approaches can become reusable playbooks for later tasks.
Source awareness Teams can understand where an answer or draft is coming from.

Runbooks, saved memory candidates, and continuity attribution across session, local, shared-memory, and learned-pattern lanes help agent output stay grounded and reusable.