AIinsidethetools
yourteamalreadyuses.
Drafts in your inbox. Summaries in your channels. Decisions surfaced where work actually happens. AI that lives inside Slack, email, calendar, and docs — never as a side product.
Information is everywhere. Decisions get stuck anyway.
Modern teams carry a real cost in operational overhead: hunting threads, summarizing tickets, drafting status, routing requests. Off-the-shelf AI tools add another tab. We embed intelligence directly into the channels and inboxes your team is already in.
- Inbox overload — incoming messages, no useful prioritization.
- Slack archaeology — answers exist, but only by paging through history.
- Reporting drag — weekly status, retros, and updates that eat senior time.
- Routing thrash — requests landing in the wrong channel, then re-routed.
Operational intelligence wired into your daily surfaces.
Each engagement is scoped around the workflows that actually slow your team down. We build the integrations, the prompts, the approval flow, and the runbook — then operate it month over month.
Slack AI Operations
Channel-aware assistants that summarize threads, surface decisions, draft responses, and route incoming work to the right humans.
Email & Calendar Coordination
Inbox triage, drafted replies for approval, calendar pattern detection, and follow-up tracking that runs in the background.
Document & Knowledge Workflows
Auto-summarization of long documents, intelligent search across your Google Workspace / Notion / Confluence, and templated drafting for repeat work.
Reporting & Retros
Weekly operational rollups, retro briefs, and exec updates generated from real activity — not someone's Sunday-night summary writing.
Vendor-neutral, frontier-model agnostic.
We pick the model, integration layer, and orchestration stack that fits your operation — not the one we have a partnership badge for. The system is designed to swap models as the frontier moves.
Models
Anthropic, OpenAI, or local — chosen per workload, swappable.
Slack & Workspace APIs
Direct app integrations, no scraping or middleware.
Orchestration
n8n, custom workflows, or LangChain depending on complexity.
Approval flow
Human-in-the-loop by default, automation by exception.
Observability
Per-action logs, prompt versioning, eval harness.
Governance
Role-based access, audit trail, retention policy.
Designed for the operation you actually run.
The hard part of workspace AI is not the model — it is the integration surface, the approval flow, and the way the system gets tuned as your operation changes. We design for those constraints from day one.
- Permissions and data governance posture mapped before any model touches a workspace.
- Human approval thresholds set per workflow — what AI can send, what it must surface first.
- Drafts and routing trained on your tone, taxonomy, and the actual way your team writes.
- Monthly tuning loop with the people who use the system every day, not just the deployers.
Tell us where the team gets stuck. We will design the layer that handles it.
Bring us the workflows that eat hours every week — the inbox, the Slack archaeology, the weekly retro. We will come back with a scoped pilot and a phased rollout that respects your team's existing rhythm.