Stage 01 of 6 · The Closed Loop
Capture — Ambient, structured collection of every business signal.
Stage 01 of Implement Agentic's six-stage closed loop. Below: process, technologies, ecosystem partners, build-vs-buy guidance, project lifecycle and the benefits clients see.
Process
- Step 01
Map the business signals that matter: meetings, chat, tickets, CRM, commits, contracts, support cases.
- Step 02
Drive work through recordable channels — Slack channels over DMs, recorded meetings over hallway chats.
- Step 03
Stand up MCP-native or pre-built connectors so every event lands in a permissioned queue.
- Step 04
Tag every captured artifact with author, ACL, project, customer and timestamp at ingest time.
Technologies
The 2026 production stack for this stage. Implement Agentic is deliberately model- and vendor-neutral.
Meeting intelligence
- Granola (MCP-native)
- Fireflies
- Fathom
- Gong
- Read.ai
- Otter
Connector grids
- Glean (100+ connectors)
- Microsoft Graph Connectors
- Notion 3.0 connectors
Open ELT/ETL
- Fivetran (~700 connectors)
- Airbyte 2.0 (self-hostable)
- Estuary
- Stitch
AI-native ingestion
- Unstructured.io
- LlamaParse
- Reducto
- Docling
Ecosystem partners
Granola
Bot-free, MCP-native meeting capture (default for Implement Agentic)
Airbyte
Self-hostable connectors for regulated client data
Glean
Permissions-aware connector grid for >50 SaaS systems
Unstructured.io
Document ingestion across S3, SharePoint, Drive, Salesforce
See the full Ecosystem partners page for our tool catalog.
Build-vs-buy decisions
Buy when…
Buy when you have 50+ SaaS systems, need ACL propagation, or require <30-day time to value (Glean, Microsoft Copilot, Notion 3.0).
Build when…
Build with Airbyte + Unstructured when sources are unusual, data residency is mandatory, or per-seat pricing breaks at scale.
Implement Agentic's recommendation
Hybrid: buy meeting capture (Granola/Fathom) and the connector grid; build the normalization and ACL-tagging layer so the corpus stays portable.
Project lifecycle
| Phase | Timing | Outcome |
|---|---|---|
| Discovery | Week 1 | Inventory of every system, signal owner and ACL boundary. |
| Connector wiring | Weeks 2–3 | Top 5 systems streaming into a governed staging area. |
| Backfill | Weeks 3–4 | Historical corpus loaded with provenance metadata intact. |
| Operate | Ongoing | Connector health monitoring + drift alerts inside AgentOps. |
Benefits
- High-fidelity corpus — the agent learns from real conversations, not summaries of summaries.
- Permission lineage from the first byte: nothing enters the system without an ACL stamp.
- Replayable history for evaluation: any past decision can be re-played against a new model.
Failure modes we prevent
- Untracked DMs and email — the agent learns from the wrong subset of work.
- Connectors that drop ACLs at ingest, leaking documents at retrieval time.
- No backfill strategy: pilots that only see 30 days of context produce shallow recommendations.