Applications
These are the verticals and applications I specialise in, based on hands-on experience building and deploying AI systems in each area.
Media & Communications
Agents that watch, filter, and surface what matters — so you don't have to.
News Monitoring
Deploy AI agents that continuously scan news sources, trade publications, and industry feeds. They filter noise, identify relevant stories, and deliver structured summaries — far more targeted than generic alert services.
- Industry-specific news tracking
- Regulatory and policy change alerts
- Market event detection
- Automated daily/weekly briefings
Media Monitoring
Track coverage across online publications, blogs, podcasts, and social platforms. AI agents can identify mentions, assess sentiment, and provide structured reports without manual trawling.
- Cross-platform mention tracking
- Sentiment analysis and trend detection
- Coverage volume and reach reporting
- Journalist and outlet identification
Brand Monitoring
Keep track of how your brand appears online. AI agents monitor reviews, social posts, forum discussions, and competitor mentions — and flag items that need attention.
- Review and feedback aggregation
- Reputation risk alerting
- Competitor comparison tracking
- Customer perception analysis
PR Communications
AI agents that support public relations workflows — from drafting press materials to tracking outreach and managing media lists. I build agents that keep comms teams moving faster without losing message control.
- Press release drafting and distribution tracking
- Media list management and enrichment
- Outreach follow-up automation
- Coverage report generation
Documentation
AI agents that bring order, consistency, and completeness to your documentation.
Process & Workflow Documentation
AI agents that observe, interview, and capture how your team actually works — turning tribal knowledge into clear, structured documentation that new hires and colleagues can follow.
- Standard operating procedure generation
- Workflow mapping and diagramming
- Onboarding documentation creation
- Process gap identification
Wiki Streamlining & Organisation
Existing wikis and knowledge bases tend to sprawl. I deploy agents that audit, restructure, and consolidate internal documentation — identifying duplicates, outdated content, and structural inconsistencies.
- Content audit and deduplication
- Navigation and taxonomy restructuring
- Stale content flagging and archival
- Cross-reference and linking improvements
Data Migration & Consolidation
When documentation lives across multiple platforms, agents can extract, normalise, and migrate content into a unified system — preserving structure and metadata along the way.
- Multi-platform content extraction
- Format normalisation and cleanup
- Metadata preservation and mapping
- Consolidated knowledge base creation
Tone of Voice Consistency
Ensuring documentation reads as though one person wrote it — even when dozens of contributors are involved. AI agents review, flag, and rewrite content to match your established style guide.
- Style guide enforcement
- Terminology standardisation
- Readability scoring and improvement
- Brand voice alignment checks
Agentic Security
AI agents applied to security assessment and adversarial testing.
Agentic Security Profiling
AI agents that build comprehensive security profiles by systematically mapping your attack surface, cataloguing exposed assets, and identifying vulnerabilities — delivering structured, prioritised findings rather than raw scan output.
- Attack surface mapping and enumeration
- Vulnerability identification and prioritisation
- Exposed asset and configuration auditing
- Continuous security posture monitoring
Agentic Red Teaming
Automated adversarial testing using AI agents to probe defences and simulate threat scenarios. These agents think like attackers — testing assumptions, chaining weaknesses, and reporting exploitable paths.
- Automated penetration testing workflows
- Threat scenario simulation
- Defence bypass and weakness chaining
- Remediation-focused reporting
Business Operations
Practical automation for the processes that consume time but follow patterns.
Inbox Optimisation
AI agents that classify, prioritise, and route email — turning an overflowing inbox into a structured workflow. I build agents that learn your preferences and handle triage so you focus on what actually needs your attention.
- Email classification and tagging
- Priority scoring and escalation
- Automated routing to teams or folders
- Draft response suggestions
Data Enrichment
Automatically enrich CRM records, lead lists, and databases with publicly available information. Agents validate, update, and fill gaps in your data.
- CRM record enrichment and validation
- Lead list augmentation
- Public data cross-referencing
- Data quality scoring
Reporting & Summarisation
Automated generation of internal reports, meeting summaries, and data digests. Agents pull from multiple sources and produce consistent, structured output.
- Scheduled report generation
- Multi-source data aggregation
- Meeting and call summarisation
- KPI dashboards and digests
Competitive Intelligence
Agents that monitor competitor activity — product launches, pricing changes, hiring patterns, and public communications — and present structured intelligence reports.
- Product and feature tracking
- Pricing and positioning analysis
- Public filing and announcement monitoring
- Market landscape mapping
See a use case that fits?
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