Discovery tool

Enterprise AI Opportunity Map

A starting point for serious conversations. Select an industry and a function. See the kinds of opportunities we work on — with our honest read on value, complexity, autonomy, data needs, risk and time-to-production.

These are reference opportunities, calibrated against real enterprise work. Not a product catalogue — a shared vocabulary for the conversation.

IndustryFunction

24 opportunities shown

Revenue

Account research & briefing

Agent gathers and synthesises public and internal context — company news, financial signals, stakeholder changes, prior interactions — into a structured brief the seller reviews before the call.

A European B2B team reduced account research from 45 minutes to 6 minutes per account with consistent quality across the team.

Value: High
Complexity: Medium
Autonomy: Assisted
Data: Both
Risk: Low
Time-to-prod.: Weeks

Revenue

Lead qualification & prioritisation

Agent scores inbound leads against your ICP, enriches with public firmographics, and routes qualified opportunities to the right rep with a reason-to-call.

Inbound SDR teams typically rebalance 30–40% of their time from research to actual conversations in the first quarter of deployment.

Value: High
Complexity: Medium
Autonomy: Assisted
Data: Structured
Risk: Low
Time-to-prod.: Weeks

Revenue

Proposal drafting assistance

Agent drafts RFP responses, technical proposals and SOWs from approved templates, past submissions and your internal knowledge base. Humans review and own the final version.

Consulting teams cut first-draft proposal time by 50–60% while maintaining voice and compliance with internal templates.

Value: High
Complexity: Medium
Autonomy: Assisted
Data: Both
Risk: Medium
Time-to-prod.: Weeks

Revenue

Pricing intelligence & monitoring

Agent monitors competitor pricing, market signals and internal guardrails, surfacing pricing opportunities with reasoning — humans approve every change.

Retail pricing teams move from weekly batch updates to continuous monitoring with documented reasoning per price decision.

Value: Transformative
Complexity: High
Autonomy: Agentic
Data: Structured
Risk: Medium
Time-to-prod.: Months

Customer operations

Service agent (tier 1 & 2 support)

Agent resolves standard customer questions end-to-end over the systems your team uses today, escalating complex cases with full context to a human.

Service operations teams typically deflect 40–60% of inbound volume to the agent in the first quarter, with consistent quality measured against audited samples.

Value: Transformative
Complexity: Medium
Autonomy: Agentic
Data: Both
Risk: Medium
Time-to-prod.: Weeks

Customer operations

Triage & routing

Agent classifies and routes incoming requests — by intent, urgency, customer segment, channel — into the right queue with the right priority.

Triage accuracy typically reaches 90%+ within the first month, with audit logs for every routing decision.

Value: Medium
Complexity: Low
Autonomy: Agentic
Data: Unstructured
Risk: Low
Time-to-prod.: Weeks

Customer operations

Claims processing

Agent extracts, validates and reconciles claim documents, checks against policy/regulation, and prepares decisions for human approval before any payment or commitment.

Insurance and claims operations handle higher volumes without proportional headcount growth while improving consistency in regulatory-aligned decisions.

Value: Transformative
Complexity: High
Autonomy: Orchestrated
Data: Unstructured
Risk: High
Time-to-prod.: Months

Customer operations

Next-best-action for service reps

Agent surfaces context-aware recommendations to service reps during live interactions — next step, relevant knowledge, similar resolved cases.

Service reps handle more cases per shift with higher first-call resolution and consistent application of policy.

Value: High
Complexity: Medium
Autonomy: Assisted
Data: Both
Risk: Medium
Time-to-prod.: Weeks

Operations

Supplier invoice discrepancy resolution

Agent retrieves the contract, queries the ERP, compares the invoice, detects exceptions, applies policy, requests human approval and writes the audit trail — exactly the workflow shown in our Live System trace.

Finance-shared-services organisations typically resolve invoice exceptions in a fraction of the time, with every decision auditable.

Value: Transformative
Complexity: Medium
Autonomy: Orchestrated
Data: Structured
Risk: Medium
Time-to-prod.: Weeks

Operations

Procurement document verification

Agent validates vendor documents against requirements — certifications, insurance, regulatory compliance, sanctions lists — flagging exceptions with evidence.

Procurement teams shorten vendor onboarding cycles while improving compliance posture.

Value: High
Complexity: Medium
Autonomy: Agentic
Data: Unstructured
Risk: Medium
Time-to-prod.: Weeks

Operations

Order exception handling

Agent handles order exceptions — stockout, partial fulfilment, address issues — proposes resolutions within policy, escalates the rest.

Customer service volume on logistics issues drops measurably as the agent resolves cases proactively before customers notice.

Value: High
Complexity: Medium
Autonomy: Agentic
Data: Structured
Risk: Medium
Time-to-prod.: Weeks

Operations

Field service scheduling & dispatch

Agent optimises technician schedules, balances workload, accounts for skills and parts availability, handles re-routes when incidents disrupt the plan.

Field service operations typically improve utilisation rates and first-time-fix ratios without adding headcount.

Value: High
Complexity: High
Autonomy: Orchestrated
Data: Structured
Risk: Medium
Time-to-prod.: Months

Finance

Bank & intercompany reconciliation

Agent matches transactions across bank statements, ERP and internal ledgers, investigates breaks, prepares reconciliation entries for human review.

Finance shared services handle higher transaction volumes with the same headcount while improving close-cycle times.

Value: High
Complexity: Medium
Autonomy: Orchestrated
Data: Structured
Risk: Medium
Time-to-prod.: Weeks

Finance

Regulatory reporting assistance

Agent drafts regulatory reports from operational data, internal templates and applicable regulation — humans review and submit.

Reporting teams reduce cycle time and free up analyst capacity for exception handling and judgement work.

Value: High
Complexity: High
Autonomy: Assisted
Data: Structured
Risk: High
Time-to-prod.: Months

Finance

Anomaly detection investigation

Agent investigates flagged transactions or operational anomalies, gathers context across systems, proposes a disposition with evidence for human approval.

Fraud, AML and operational risk teams handle more cases with consistent investigation depth and shorter response times.

Value: High
Complexity: Medium
Autonomy: Orchestrated
Data: Structured
Risk: Medium
Time-to-prod.: Weeks

People

Employee onboarding assistant

Agent guides new hires through onboarding — answers policy questions, helps complete forms, creates accounts, escalates to HR when judgement is needed.

HR operations and IT provisioning handle onboarding volume growth without adding headcount, while new-hire time-to-productivity drops.

Value: Medium
Complexity: Medium
Autonomy: Agentic
Data: Both
Risk: Low
Time-to-prod.: Weeks

People

Internal knowledge assistant

Agent answers employee questions grounded in your internal documents — policies, procedures, project context — with citations and access control.

Large enterprises reclaim thousands of hours per month previously lost to searching internal documentation.

Value: Transformative
Complexity: Medium
Autonomy: Assisted
Data: Unstructured
Risk: Medium
Time-to-prod.: Weeks

People

Recruiting workflow assistance

Agent screens CVs against role criteria, schedules interviews, prepares briefs for hiring managers, sends status updates — humans make the final hiring decisions.

Talent acquisition teams handle higher application volumes with faster time-to-shortlist and consistent evaluation criteria.

Value: High
Complexity: Medium
Autonomy: Agentic
Data: Structured
Risk: Medium
Time-to-prod.: Weeks

Technology

Coding agent (pair & review)

Agent works alongside engineers — proposes code, runs tests, reviews pull requests, refactors, documents. Engineers own acceptance and merge.

Engineering organisations measure meaningful throughput gains in routine work — migrations, test coverage, documentation — without replacing senior judgement.

Value: High
Complexity: Medium
Autonomy: Agentic
Data: Structured
Risk: Medium
Time-to-prod.: Weeks

Technology

QA automation

Agent generates test cases from requirements, runs regression suites, investigates failures with context for engineers.

Engineering teams increase regression coverage and shorten feedback loops without proportionally growing QA headcount.

Value: High
Complexity: Medium
Autonomy: Agentic
Data: Structured
Risk: Low
Time-to-prod.: Weeks

Technology

Incident investigation triage

Agent triages incoming alerts, gathers context from logs and dashboards, groups related signals, prepares an incident brief with hypotheses for the on-call engineer.

On-call rotations see fewer escalations and faster mean-time-to-engage on real incidents.

Value: High
Complexity: Medium
Autonomy: Agentic
Data: Structured
Risk: Low
Time-to-prod.: Weeks

Knowledge

Enterprise research & synthesis

Agent gathers, cross-references and synthesises sources across public and licensed material — every claim with provenance, ready for analyst review.

Consulting and strategy teams compress research phases from weeks to days while improving audit trail.

Value: High
Complexity: Medium
Autonomy: Assisted
Data: Both
Risk: Low
Time-to-prod.: Weeks

Knowledge

Decision support brief

Agent prepares structured executive briefs — options, trade-offs, evidence, risks — calibrated to the decision at hand. Humans decide.

Senior leaders report faster, better-prepared decision cycles on recurring operational questions.

Value: High
Complexity: Medium
Autonomy: Assisted
Data: Both
Risk: Medium
Time-to-prod.: Weeks

Knowledge

Document intelligence & extraction

Agent extracts structured data from unstructured documents — contracts, clinical notes, regulatory filings — with confidence scores and human validation flows.

Legal, clinical and compliance teams process higher document volumes with structured outputs that integrate with downstream systems.

Value: Transformative
Complexity: Medium
Autonomy: Agentic
Data: Unstructured
Risk: Medium
Time-to-prod.: Weeks

Discuss this opportunity

See if it works inside your organisation.

A 60-minute conversation with a partner. We listen, ask hard questions and tell you honestly whether it makes sense to act — and what the first credible step would be.

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