AI Agent Development
8 min read · 2026-04-15
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Book a ConsultationIndustry: Professional Services / Audit and Advisory
Engagement: Freelance
Timeline: April 2026 (1 month)
Location: Remote
Type: Multi-Agent AI System (LangGraph)
Audit and advisory firms operate in environments where staying current matters: regulatory shifts, political developments, policy changes, and competitive positioning all directly affect client engagements and firm strategy.
Tracking all of this manually across media sources, parliamentary records, economic registries, and competitor landscapes is time-consuming, inconsistent, and hard to scale. The firm needed an automated intelligence layer that could monitor, score, and surface what actually mattered.
Three specialised agents were built using LangGraph, each focused on a distinct intelligence domain. Rather than a single tool trying to cover everything broadly, each agent runs its own pipeline with dedicated data sources, scoring logic, and structured output.
The result is a modular intelligence system where each agent can be updated, extended, or replaced independently without disrupting the others.
Agent 1: Media and Data Monitoring Agent
Tracks and synthesises information across media and economic sources in a structured pipeline:
Collect (RSS feeds, economic sources, registry rankings) → Rank by relevance → Approve → Summarise → Output
Built with LangGraph and OpenAI. Delivers ranked, summarised intelligence reports as formatted documents, replacing manual news monitoring and report drafting.
Agent 2: Political and Policy Stakeholder Mapping Agent
Maps the political and regulatory landscape relevant to the firm's clients and practice areas:
Profile → Policy scope → Collect (parliament data via Search MCP) → Score → Output
Extracts data directly from parliamentary sources using Search MCP, scores stakeholders by policy relevance, and produces structured mapping outputs. Gives the firm visibility into which political actors and policy developments are most likely to affect engagements.
Agent 3: Competitor and Alternatives Agent
Runs a structured competitive intelligence pipeline against client or firm-level contexts:
Load client → Discover competitors and alternatives → Rank → Gap analysis → Output
Surfaces competitor positioning, identifies alternatives in the market, and produces gap analysis outputs that inform advisory strategy and business development.
| Area | Impact | |---|---| | Media and market monitoring | Automated collection, ranking, and summarisation across sources | | Political intelligence | Structured stakeholder mapping from live parliamentary data | | Competitive positioning | Automated discovery, ranking, and gap analysis per client context | | Manual research time | Replaced across all three intelligence domains | | Output format | Structured, consistent documents ready for internal use or client delivery |
Intelligence work in professional services is only useful when it is current, consistent, and actionable. Manual research fails on all three when volume increases.
Three focused agents, each owning one domain, deliver better coverage than a single general system. The modular design means the firm can extend any agent as new data sources or intelligence needs emerge without rebuilding the pipeline.
