AI Agents

Designing, deploying and operating agentic AI systems that do real work.

A map of the departments where agents are useful today, with concrete examples of what they can realistically do alongside your people.

Sales

Agents that research accounts before a call, draft tailored outreach, log CRM activity from emails and meetings, qualify inbound leads against the ideal customer profile and surface the next best action for each opportunity.

Marketing

Campaign copilots that generate and localise content, segment audiences, brief creatives, monitor performance and propose experiments. Useful for editorial calendars, paid media briefs and post-campaign reporting.

Customer service

Triage agents that classify and route tickets, draft replies grounded in the knowledge base, summarise long threads for human agents, handle Tier 1 questions across chat, email and voice and escalate cleanly when judgement is needed.

eCommerce and retail

Product enrichment, catalogue translation and merchandising agents. They generate descriptions and attributes, monitor pricing and stock, recover abandoned carts with relevant offers and answer pre-sales questions across the storefront.

Finance

Agents that reconcile transactions, chase overdue invoices with the right tone, draft management commentary on monthly numbers, flag anomalies in spend and prepare board-ready summaries from raw ledgers.

Legal and compliance

Contract review agents that compare clauses against a playbook, extract obligations and renewal dates, draft NDAs and DPAs from templates, and assist with regulatory horizon scanning and policy redlines.

HR and people ops

Agents that screen CVs against a real role, schedule interviews, draft job descriptions, answer employee questions on policies and benefits, and prepare onboarding plans personalised to each new hire.

Procurement and supply chain

Agents that prepare RFPs, score supplier responses, monitor delivery performance, watch for disruption signals across the network and draft negotiation briefs grounded in historical spend.

Operations and manufacturing

Shop-floor copilots that interpret sensor data, suggest maintenance windows, generate shift handover notes, coordinate fleets of robots and walk operators through SOPs in natural language.

R and D

Research agents that scan literature and patents, synthesise findings, propose experiments, summarise lab notebooks and keep a living competitive map across a technical domain.

Engineering and IT

Coding copilots paired with agents that triage incidents, write postmortems, keep documentation in sync with the codebase, propose infrastructure changes and run routine maintenance under human approval.

Security

SOC agents that enrich alerts with context, group related signals into incidents, draft initial investigation notes, run playbook steps automatically and prepare clear briefings for human analysts.

Data and analytics

Analyst agents that answer business questions in natural language, generate SQL and dashboards, monitor metrics for anomalies and produce weekly narratives so leaders read insight, not raw tables.

Executive office

Chief of staff agents that prepare briefings before meetings, summarise long documents, track commitments across the leadership team and draft updates to the board and investors.

Field service

Dispatch agents that match jobs to technicians, prepare site briefings, guide engineers through diagnostics on a mobile device and capture structured reports from voice notes after each visit.

Learning and enablement

Agents that turn product changes into training material, generate role-specific learning paths, run conversational assessments and answer employee how-to questions grounded in internal documentation.