Agentic AI for Report Processing

Agentic AI for Report Processing

Business impact
  • -60%

    report preparation time

  • +35%

    more reports delivered on schedule

  • 70 hrs/month

    saved by the finance team

  • Audit trail

    sources, rules, and approvals are recorded

Business Challenge

Finance staff spent each reporting cycle collecting figures from separate systems and reconciling them by hand. This left little time to interpret results and made deadlines difficult to meet.

  • ERP, CRM, and departmental spreadsheets held overlapping figures.
  • Teams manually checked and reconciled the same data each cycle.
  • Report assembly displaced analysis and decision support.
  • Month-end and quarter-end work often ran into evenings and weekends.
AI Opportunity

Recurring reports follow stable data sources, rules, and formats, making routine steps suitable for automation. An agentic workflow can handle execution while routing exceptions and judgment calls to finance staff.

  • Collect figures from approved ERP and CRM sources on schedule.
  • Reconcile data against consistent business rules.
  • Flag unusual variances for human review instead of guessing.
  • Keep finance accountable for interpretation and final approval.
Solution

We coordinated data collection, reconciliation, and report drafting in an agentic workflow. Human checkpoints and an audit trail kept the finance team in control of every consequential decision.

  • Collection agents retrieve figures from connected systems.
  • Reconciliation agents flag variances above agreed thresholds.
  • Drafting agents populate the client's existing report template.
  • Reviewers approve reports, with sources and applied rules recorded.
FAQ
Technology Stack
  • Python

  • Agentic AI orchestration

  • Large language models (LLMs)

  • LangGraph workflows

  • ERP and CRM API integration

  • SQL data validation

  • AWS serverless computing

  • Audit logging

  • AI-powered report drafting

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