Agentic account research and next action
Account context is retrieved, summarized and turned into next-action drafts with approvals.
Case note
The implementation was treated as a small operating system: visibility first, ownership next, automation only after the workflow was clear.
The starting point
Sales reps prepared strategic follow-ups by reading CRM notes, old emails, meeting summaries and public company information. It was valuable work, but slow and inconsistent.
The important signal was not that the team was working badly. The issue was that work depended on memory, copied data, parallel system checks and priority decisions without a shared source of truth. The first value was turning invisible work into a visible workflow.
The implementation
Ductio scoped an agentic workflow that retrieves approved context, summarizes account status, proposes next actions, drafts follow-up language and queues external actions for human approval.
The scope stayed deliberately small. Rules cover repeatable work, AI summarizes or classifies where free text adds context, and sensitive decisions remain in human review. AI as support inside the process, not as autopilot.
What was used
Tooling was chosen from the process outward, not from a pre-decided technical preference. Each piece needed a clear owner, a stable integration path and a simple way to inspect errors.
In practice, the build combined CRM API, LangGraph-style orchestration, LangSmith-style traces, OpenAI/Anthropic, Supabase, Slack. The tools visible to the team stayed close to their daily work, while integration logic was documented and kept separate from sensitive commercial decisions.
The improvement showed up in daily work.
Rather than treating the result as a dashboard, the team felt it in three specific moments: less manual preparation, less context hunting, and fewer doubts about who needed to act.
Account prep: Strategic follow-up preparation moved from 70 min to 20 min.
Context coverage: Approved sources included moved from Variable to Consistent.
Control: External actions reviewed moved from Manual to Approval gate.
What changed after launch
Reps receive a consistent account brief while the system remains bounded. The agent can prepare and recommend; humans approve external actions.
The most valuable change was operational calm. The team stopped chasing fragments and started working from a shared sequence: intake, context, decision, action and evidence. 70% less prep
The workflow in one line
How it was built
A CRM trigger starts context retrieval. The agent plans next steps, checks tool permissions, drafts outputs, sends them to approval and logs traces for review.
The stack was pragmatic: CRM API, LangGraph-style orchestration, LangSmith-style traces, OpenAI/Anthropic, Supabase, Slack. Tools were chosen for ownership, integration and maintainability, not for theater. The result is a system the team can understand and operate.
What was delivered
- Context retrieval
- Agent plan
- Tool permissions
- Approval queue
- Trace logs
- Strategic account preparation time dropped by about 70%.
- Sales reps received a consistent brief before outreach.
- Every external action stayed reviewable before being sent or written back.
