CRM

Postgres Account Dedupe Agent with AI Conflict Adjudication

An agent inspects a Postgres customer table for fuzzy-duplicate accounts, reasons over each conflicting field to recommend the correct value with a rationale.

CategoryCRM
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook signals candidate duplicate account IDsHTTP webhook
  • ActionPull both records and related rows from PostgresPostgreSQLPostgres
  • LogicAgent adjudicates each conflicting field with rationale
  • LogicEscalate low-confidence fields for mandatory human input
  • ActionPost adjudicated merge brief to Microsoft TeamsMicrosoft Teams
  • OutputOn sign-off, run merge transaction in Postgres and log outcomePostgreSQLPostgres

What it does

This agent-driven workflow queries a Postgres customer table for fuzzy duplicates, then for every field where the duplicates disagree it reasons about which value is most likely correct (freshest, most complete, internally consistent) and writes a short rationale. It assembles an adjudicated merge brief and sends it to a Microsoft Teams channel where an owner approves or overrides before the merge is applied.

When to use it

Use it when duplicate detection is easy but choosing the right surviving value is judgment-heavy, and you want explainable per-field recommendations rather than rigid rules.

How it works

  1. 1A webhook from your data pipeline signals candidate duplicate IDs.
  2. 2The agent pulls both records and their related rows from Postgres.
  3. 3It adjudicates each conflicting field, attaching a confidence level and rationale.
  4. 4A branch escalates low-confidence fields for mandatory human input.
  5. 5The merge brief is posted to Microsoft Teams for approval.
  6. 6On sign-off, the agent runs the merge transaction in Postgres and logs the outcome.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect Microsoft TeamsChannels, chats, files.
  3. 3
    Connect HTTP webhookTrigger any URL on agent actions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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