DeckCrew helps you set up an AI support agent that answers from your docs and shared company knowledge, drafts replies your team can review, and summarizes long threads into clear next steps. When it's uncertain, it can ask clarifying questions or escalate instead of guessing.
Support visibility
The Bridge is your control surface for AI in customer support. See what the agent answered, which replies are waiting for approval, and which conversations need a human handoff.
Under the hood: approval queues, trusted-identity gating, and an audit trail for tool use and drafts so you can inspect what happened and keep customer-facing work reviewable.
Turn your help center, internal docs, and product notes into shared company knowledge the agent can use so answers reflect your policies and product details, not generic replies.
Uses the DeckCrew logbook, a shared memory and work-history layer built from imported website content and uploaded documents, with role-scoped access to keep answers grounded in your company context.
Let the AI support knowledge base assistant prepare a reply in your tone, then keep it as a draft until your team approves it.
Draft-first workflow with per-tool approvals and a clear approval trail, so customer-facing actions can stay under human review.
Get a fast, readable summary of the issue, what's been tried, and what to do next without re-reading the full thread.
Structured conversation summarization with continuity attribution, so operators can see which context influenced the summary.
Coverage
Where this agent works
What this agent can access
When a question is ambiguous, high-impact, or missing key details, the agent can ask clarifying questions or route the thread to the right teammate.
Confidence-aware escalation paths with context inspection and handoff routing, so uncertainty becomes a clean human follow-up instead of a risky guess.
When your team resolves a support issue well, capture the approach so the next similar ticket starts from a proven playbook.
Runbooks, reusable patterns from successful work, can be saved into shared memory so similar support runs can start from what already worked.
Example prompts
These are the kinds of support tasks a team can run once the agent has company knowledge and a reviewable workflow.
Answer this using our refund policy and product limits.
Draft a reply in our tone and keep it as a draft for approval.
Summarize this thread: issue, timeline, and next best step.
What questions should we ask to diagnose this faster?
Escalate this to a human and include a short handoff brief.
Suggest a runbook we can save so the next ticket starts from the proven resolution.
Related pages
Start with How It Works for the setup flow, then Agents for the memory and trust model. Go deeper on knowledge import, shared context, review workflows, and governance with the pages below.
See how DeckCrew turns website content into usable company knowledge.
Explore page
Understand how one shared knowledge base helps every agent stay aligned.
Explore page
See how customer-facing drafts can stay reviewable before they are sent.
Explore page
Review the trust, control, and governance model behind business-safe AI use.
Explore page
Support FAQ
