Production AI agent programs for enterprise leaders

Problem. First-notice-of-loss intake is long and expensive, and incomplete data pushes rework and cycle time into the adjuster's queue.

Agent design. Agent conducts structured loss intake across voice and digital, collects photos and documents, validates coverage against policy admin, sets severity and books the adjuster.

Outcome. Adjusters open complete, coded claims instead of chasing the customer for missing facts. Coverage disputes, injury and suspected-fraud indicators escalate to an adjuster immediately.

Acts in. Claims system · Policy admin · Document capture

Problem. SMB submissions are too low-margin to staff properly, so carriers decline business or lose it to slower turnaround.

Agent design. Underwriting agent extracts submission data, runs appetite and eligibility checks, prices tiers against the rating engine and drafts the quote for underwriter approval.

Outcome. Straight-through submissions are quoted same day with the underwriter retaining the bind decision.

Acts in. Policy admin · Rating engine · Submission inbox

Problem. Form and state-variation errors carry direct loss cost, and no agent can be trusted with issuance until retrieval is form-aware.

Agent design. Retrieval over the policy corpus with form-aware chunking, state and line-of-business filters and a regression evaluation set run on every content update.

Outcome. Underwriting agents cite the right form and state variation inside the workflow. Underwriters review cited passages before an issuance decision is made.

Acts in. Policy forms library · State filings · Underwriting workbench

Problem. Issuance and endorsements bounce between underwriting, operations and policy admin, with re-keying at every hop.

Agent design. Agentic workflow orchestrates issuance across systems, generates documents, validates against the rated position and routes only genuine exceptions to operations.

Outcome. Policies and endorsements complete without manual re-keying between systems. Underwriter approval is required on any endorsement outside standard limits.

Acts in. Policy admin · Rating · Document generation

Problem. Adjuster capacity is spent reformatting FNOL inputs, looking up coverage and coding severity before real claim work begins.

Agent design. Agent assembles adjuster-ready packages from FNOL inputs and policy data, codes severity and assigns to the right queue automatically.

Outcome. Adjusters start on complete, coded claims and cycle time drops without new headcount. Complex, disputed and high-severity claims escalate to an adjuster with full context.

Acts in. Claims system · Policy admin · Document repository

Problem. Multi-form intake with document uploads and coverage checks produces incomplete submissions and avoidable rework.

Agent design. Kore.ai agent orchestrates conversational intake, collects and validates documents, verifies coverage in policy admin and assembles the adjuster-ready package.

Outcome. Complete, validated claims reach adjusters without back-and-forth. Incomplete or high-severity submissions escalate to an adjuster with the gaps listed.

Acts in. Claims system · Policy admin · Document capture

Problem. During major incidents, responder time goes to assembling context rather than restoring service, and every minute carries business cost.

Agent design. Agent retrieves incident history, runbooks and CMDB impact, drafts situation summaries, stakeholder comms and change risk notes for the incident manager to approve.

Outcome. Faster stabilization and consistent stakeholder communication without added coordination headcount.

Acts in. ITSM · CMDB · Runbooks

Problem. Desk bookings, badge access and maintenance requests arrive by email, go untracked and leave property spend impossible to manage.

Agent design. Single intake agent classifies the request, books resources, raises facilities work orders and confirms completion back to the employee.

Outcome. One place to ask for anything about the workplace, with routing, status and demand data captured automatically. Spend and safety requests require facilities-manager approval before the agent acts.

Acts in. Facilities / IWMS · Desk and room booking · Access control

Problem. Policy, billing and claims each sit behind a separate bot or queue, so one customer question becomes three conversations and three cost centres.

Agent design. A supervisor agent routes intent to specialist agents for policy servicing, billing and claims, sharing context and authentication across the whole interaction.

Outcome. One conversation resolves multi-system requests without repetition or bot-to-bot transfer. Coverage, payment and complaint exceptions escalate to a licensed human with the case intact.

Acts in. Policy admin · Billing · Claims system

Problem. Screen-scraping bots break on every UI change, and maintenance now costs more than the automation saves.

Agent design. Reasoning agents call documented APIs and tools instead of driving screens, with schema validation, retries and a human queue for genuine exceptions.

Outcome. Automations survive vendor releases, and the exception queue becomes the only thing operations watches.

Acts in. Policy and claims APIs · Workflow orchestration · Exception queue

Problem. In-house counsel reviews high volumes of routine agreements while the business waits days for standard NDAs and vendor terms.

Agent design. Agent compares incoming contracts to the clause playbook, proposes fallback language for standard deviations and escalates novel or high-risk terms to counsel with a redline and rationale.

Outcome. Routine agreements move at business speed while counsel focuses on genuinely risky terms.

Acts in. CLM · Clause playbook · Matter management

Problem. Requesters do not know which forms, approvals or security reviews a purchase needs, so intake bounces between procurement, security and legal.

Agent design. Conversational intake determines category, spend threshold and risk tier, assembles the right approval and diligence path and chases outstanding vendor documentation automatically.

Outcome. Requests arrive complete and correctly routed, and vendor onboarding stops stalling on paperwork.

Acts in. Procurement / ERP · Third-party risk · Vendor master