Case Studies - Activate Intelligence

How We’ve Helped Organisations Transform Workflows with AI Agents

We build AI systems that run in production, not prototypes that gather dust. These case studies show how our multi-agent architectures solve real problems across industries.

Parliamentary Monitoring

Real-Time Legislative Intelligence for Public Affairs

A leading public affairs consultancy needed to track parliamentary activity across two chambers and dozens of committees. Manual monitoring couldn’t keep pace with the volume of speeches, amendments, and debates.

We built a 30+ agent pipeline that processes parliamentary data daily: ingesting official sources, extracting structured information, verifying keyword relevance, and delivering formatted intelligence to analysts before their morning meetings.

Results:

Comprehensive coverage of assembly and committee proceedings
Structured daily reports with source links
Keyword tracking across 14 economic sectors
Hours of manual monitoring eliminated

Corporate Communications

Automated Media Intelligence and Content Distribution

A communications team managing multiple news sources and distribution channels was spending too much time on manual aggregation. Staff compiled newsletters by hand, translated content between languages, and formatted the same information for different outputs.

We deployed agents that monitor RSS feeds, summarise content, and distribute formatted briefings automatically. The team now focuses on strategy and messaging rather than copy-paste operations.

Results:

Hundreds of sources monitored in parallel
Automated newsletter compilation
Bilingual output from single source content
Same-day turnaround on media intelligence

Financial Services

Press Optimisation and Coverage Analysis for Banking

A major European bank wanted to improve how their communications team tracked media coverage and optimised press releases. Traditional monitoring tools generated noise without context.

We built agents that analyse coverage patterns, assess message penetration, and help the team understand which narratives land with journalists. Bilingual capability ensures consistent intelligence across markets.

Results:

Structured coverage analysis after announcements
Pre-publication press release assessment
Italian and English media tracking
Faster response to developing stories

Read more about Financial Services AI →

Proprietary Data Access

Conversational Intelligence for Benchmark Data

A specialist consultancy had years of proprietary benchmark data locked in spreadsheets. Clients called with questions; staff manually queried databases and compiled answers. Response times were slow and the process didn’t scale.

We built an agent that acts as an intelligent gatekeeper: answering natural language questions, providing contextualised insights, and protecting raw data from exposure. The firm now offers subscription access to their intelligence without revealing the underlying dataset.

Results:

Instant responses to client queries
Data monetisation without exposure
New subscription revenue stream
Reduced manual query handling

MCP Server Development

Connecting AI Assistants to Internal Systems

An organisation wanted their team to query internal databases through natural conversation with Claude, rather than writing complex queries or waiting for analyst support.

We built a Model Context Protocol server that gives Claude structured access to their data. Team members ask questions in plain English; the AI retrieves relevant information and synthesises responses with citations.

Results:

Natural language access to complex data
Non-technical users empowered to self-serve
Reduced load on data team
Audit trail for all queries

Multi-Agent Systems

Orchestrated Intelligence for Complex Workflows

Several clients needed more than single-purpose agents. Their workflows involved multiple data sources, sequential processing stages, quality verification, and reliable scheduling.

We designed multi-agent architectures where specialised agents handle discrete tasks, coordinated by orchestration layers that manage dependencies, retries, and human review gates. These systems run daily without intervention, processing data and delivering results on schedule.

Results:

Complex workflows fully automated
Reliable daily processing
Error recovery without manual intervention
Scalable architecture for growing requirements

Ready to Discuss Your Project?

Every organisation has different data, workflows, and constraints. We start with a conversation to understand your specific challenges and identify where AI agents can have the most impact.