Agents for Slack & Teams
Your AI Workforce
Grail agents live in your Slack or Teams, connect to every tool you use, and execute complex work end‑to‑end — writing code, running reports, coordinating workflows. They check in before acting. They remember everything.
How It Works
Grail agents connect to your existing tools — Slack, Teams, CRMs, databases, APIs — and execute complex work end-to-end. They ask clarifying questions, request approvals before acting, estimate runtime, and deliver results with full audit trails.
Connect any tool you use
Built to Remember
Add a Grail agent to Slack or Teams and start talking to it like a new hire. It learns your tools, your processes, and how your team works — and carries that knowledge into every task. The longer it works with you, the more capable it becomes.
Gets Up to Speed Fast
Connect your tools, explain how things work — once. It onboards like a sharp new hire and starts contributing immediately.
Spots What You Didn’t Ask For
Proactively flags repeated tasks, process gaps, and automations worth building. Asks the right questions before going off-track.
Runs Like a Tenured Employee
Knows your tone, your approval flows, your edge cases. Never has to be told twice. Gets better with every task it completes.
Built for Teams That Can’t Get Security Wrong
Most AI tools ask for broad access and hope nothing goes wrong. Grail is built the other way around: your agent, your data, and your critical systems are separated by design — not by policy.
Your agent works in a sandbox
It can read what you’ve shared with it, but it can’t touch production systems or sensitive data on its own. Think of it as a sharp teammate who can see the whiteboard but needs your badge to open the server room.
Critical actions go through a separate, locked-down runner
When something needs to actually write to your CRM, update a database, or access sensitive records, it happens in a separate system with its own access rules. The agent requests the action — it doesn’t perform it directly.
Every action goes through a permission ledger
Before anything sensitive happens, the right person gets asked. You set the rules: one-time approval, time-limited access, or standing permission for routine actions. Every decision is logged.
Your workflows are your IP
We never share, productize, or learn from one client’s workflows to serve another. Your processes stay yours.
Deploy on your infrastructure
Run Grail on your own cloud, your own account, your own VPC. We set it up and hand you the keys.
No model training on your data
Your conversations, documents, and workflows are never used to train any model. Full stop.
Engagement Model
A proven rollout process to architect, deploy, and manage your AI workforce.
Discovery & Workflow Audit
We map your current workflows, tools, data sources, and compliance requirements to identify high-impact automation opportunities.
Custom AI Workforce Design
We define exact AI roles, permissions, and integrations — what systems they connect to, what approvals they need, and how they report back.
Deployment & Onboarding
Your AI employees and workflows go live in the right interfaces with supervised rollout, team training, and clear escalation paths.
Continuous Iteration
We monitor outcomes, refine agents weekly, and expand capabilities — all under your governance controls.
Engagements start at $5k/mo with flat-cost iteration, long-running agents, and full code ownership.
Use Cases with Grail
Real use cases from teams using Grail agents.
Competitive Intelligence
Built investor-ready competitive decks from live data, internal docs, and market research — delivered same day.
Automated Reporting Pipeline
Wrote, tested, and deployed production scripts that pull from Stripe, HubSpot, and internal DBs — fully autonomous.
Vendor Onboarding Automation
End-to-end vendor onboarding across contract drafting, background checks, system provisioning, and kickoff scheduling.
From the blog
Field notes from the team
What we're learning about AI workflows, governance, and building agents that last in production.
Frequently Asked Questions
Direct answers to common implementation and governance questions.
What is an AI workforce?
An AI workforce is a set of role-specific agents that execute real operational work across your systems with approvals, audit trails, and clear ownership.
Where do Grail agents work day-to-day?
Grail agents work directly inside Slack or Microsoft Teams, and connect to the tools your team already uses, including CRMs, ERPs, ticketing systems, databases, and internal APIs.
Can agents act without human approval?
You control the approval policy. Low-risk tasks can be automated, while higher-risk actions can require explicit human approval before execution.
How quickly can we go live?
Most teams start with a scoped rollout in a few weeks: workflow design, integrations, permissions, supervised launch, then ongoing optimization.
How do you handle security and governance?
Every action is logged with immutable audit trails. Access is role-based, approvals are configurable, and governance controls are built into day-to-day execution.
Do you offer a free trial?
We run a hands-on demo tailored to your workflows and systems so you can see real outcomes before rollout. There is no generic self-serve trial.
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