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2026 priorities

The agent programs enterprise leaders are funding right now.

Six agent use cases reflecting where 2026 budgets are moving: agents that take action in systems of record, supervision of an AI workforce, and governance you can put in front of compliance.

Customer-Facing AI AgentsFinancial ServicesAutonomousAmazon ConnectAmazon Lex

Action-taking voice agent for billing and payments

Payments, disputes in progress and balance actions complete in the voice channel, with clean escalation when policy or risk rules trip.

Transactions completed in channel · 15–25 pt containment lift over answer-only bots

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Customer-Facing AI AgentsBPOSupervisedGenesys CloudNICE CXone

Control plane for a hybrid human and AI agent workforce

Operations manages AI capacity the way it manages headcount, with per-client reporting clients can audit.

Single capacity view across human and AI agents · cost per contact reported by agent type within 1 quarter

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Customer-Facing AI AgentsHealth PayersSupervisedFive9NICE CXone

Quality management agent that scores every interaction and routes on it

Sensitive member calls land with agents who score well on that behaviour, and coaching lands while the gap is fresh. Disputed scores and routing changes require a quality-leader review.

100% scored interactions · quality signals applied to routing within the shift · compliance risk reduced

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Process & Operations AI AgentsInsuranceSupervisedAWS BedrockKore.ai

RPA replacement agents that call APIs instead of scraping screens

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

40–60% lower automation maintenance cost per process · 50%+ fewer break-fix incidents per release

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Process & Operations AI AgentsHealthcare ProvidersSupervisedAWS BedrockAzure OpenAI

Audit-grade agent observability and tracing

Agents clear compliance review because each action can be reconstructed, and regressions surface before they reach patients or payers.

100% of cases reconstructable step by step · drift detected before member impact · 30% shorter compliance approval cycle

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Employee-Facing AI AgentsFinancial ServicesSupervisedSalesforce AgentforceCopilot Studio

Converged IT and HR employee service agent

Employees ask once, and joint journeys such as onboarding or role change complete without manual hand-offs. Pay, leave and privileged-access actions run behind manager or HR approval.

Single intake for 100% of internal requests · 40–60% fewer cross-team reassignments · 20–30% lower cost per internal case

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Agent pattern: Assistive — drafts and recommends, a person sends. Supervised — acts in your systems behind approval gates. Autonomous — completes the work end to end within policy and escalates exceptions.

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Customer-Facing AI AgentsInsuranceAutonomous

FNOL intake agent that assembles adjuster-ready claims

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

35% lower intake cost per claim · 2x faster claim assignment
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Five9Kore.ai
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