Transform critical processes by deploying the right assistants, agents and automation.
Start with actual work
Your teams search for scattered information, re-enter data or coordinate multiple checks. You want to increase processing capacity while retaining control over decisions.
An activity map; a target process; agents connected to tools and data; human validation rules; and quality, lead-time and cost monitoring.
Processing time, automation rate, rework, quality and workload. Time released and actual financial savings are tracked separately.
AI in practice
Specialist automotive insurer
Polynom built a chain of specialist agents to read documents, analyse faults, check coverage and review prices. The workflow brings together the evidence needed to assess a claim and routes exceptions to a claims handler.
Explore the caseBuilding services company
Polynom developed a pipeline combining OCR, agent-based extraction and validation to identify decisions, votes, budgets and service providers, then integrate the data into business systems.
Explore the caseFAQ
Roles are defined with them: oversight, exception handling, decisions and process improvement.
Autonomy depends on the task, demonstrated quality and the consequences of an error.
Analyse actual work, data and constraints. Design the target operating process with teams and define success criteria.
Build an initial solution and test it with users. Measure benefits, quality, risks, costs and energy consumption.
Integrate the solution into operations, prepare teams and organise its running. Monitor use and improve both agents and processes.
A clear need or an early idea? Start with a conversation. We will reply within a few days.
