Agentic AI - SOW Automate Workflows

Business Challenges

Quarterly SOW estimate extensions are currently hindered by a highly manual and repetitive renewal process. Evaluating complex contract parameters every three months consumes significant administrative bandwidth and creates operational bottlenecks. This reliance on manual data validation slows down project timelines and increases the risk of oversight. Automating these evaluations would streamline contract lifecycles and allow teams to focus on strategic negotiations rather than routine data entry.Manual contract auditing and resource-heavy shutdown planning are currently impeding legal efficiency. These bottlenecks delay compliance oversight and weaken the company’s position during budgeting and vendor negotiations

Digital Transformation

Deployed a multi-agent system to automate SOW reviews, optimize shutdown planning, and perform multi-vendor clause comparisons for seamless estimate extensions.

Key Solutions

Built Multi-agent setup to generate decision table.
With Airflow DAG for agent execution and interaction. Implemented REST API based estimate extension agent for faster and accurate decision making for the estimation and approval along with notification mechanism. AI Assistant provide solutions for planning cost saving budget

Business Benefits

50% Reduction in contract review time.
35% Improvement in retrieval accuracy.
Automated notifications streamline stakeholder communication.
Direct supplier clause comparisons saved hours of manual effort.

Best Practices

Use a decision-table driven agent to ensure explainability and traceability of extension logic
Use Airflow DAGs for deterministic orchestration and retries
Use event-driven notifications (via LangGraph) triggered only on meaningful state changes

Client

Enterprise (Large organizations across IT, Networking, Operations, Customer Service)