AI frameworks and agent build
Intelligence your teams read, instead of search for
Competitor moves, commodity prices, supplier risk, regulatory change, market signals: the information exists, scattered across sources nobody has time to watch. An intelligence agent watches them, extracts what matters, and compiles briefings and battle cards with every claim cited.
The theme with the most ideas and the least data
In every discovery programme, market, competitor and supplier intelligence draws one of the largest fields of ideas, raised independently by R&D, procurement, sales and marketing: competitor battle cards, commodity and cost-trend forecasting, supplier risk, regulatory monitoring, customer personas. It also sits furthest from ready, because there is rarely a market-data subscription or a structured process behind it, only public sources and individual effort.
That is what makes it a good fit for an agent rather than a product: the sources are specific to the business, the questions change, and the output has to be trusted, which means cited. The agent does the watching and the extraction; your people do the judgement.
Watch, extract, compile, cite
Sources you choose
Competitor websites and filings, trade press, commodity and exchange data, regulators, tender portals, supplier news, your own CRM notes. Public, licensed or internal, each with its terms respected.
Extraction against a schema
Signals extracted into a structure you define: product launches, pricing moves, leadership changes, price indices, supplier incidents, regulatory deadlines, with the source and date on each.
Compilation
Briefings on a schedule, battle cards per competitor, risk alerts when a threshold is crossed, persona and segment summaries, all in your templates.
Citation enforced
Every claim links to the source it came from. An item that cannot be grounded is flagged, not asserted. People check the sources, not the agent's word.
Human review and feedback
Analysts rate and correct items; corrections feed the extraction and the evaluation set, so the agent learns what the business counts as signal.
Four patterns
Competitor intelligence
Battle cards and launch tracking for sales and product teams, refreshed as competitors move rather than once a year.
Commodity and cost trends
Price indices and supplier signals compiled for procurement and finance, with forecasts where the data supports them.
Supplier and regulatory risk
Incidents, sanctions, financial distress and regulatory change monitored across the supplier base and the markets you sell into.
Market and customer insight
Segment and persona summaries from research, social and CRM sources, for marketing and product management.
Weeks to a first briefing
Two weeks of scoping: sources, their terms, the extraction schema, the outputs and their schedule, the review workflow and the evaluation set. Three to six weeks of build. Then a pilot on one intelligence product, a competitor battle-card set or a supplier-risk brief, with analysts reviewing every issue before it widens. Scoped and fixed before build;
About intelligence agents
Is this just web scraping?
No. Scraping collects pages; the agent extracts structured signals against a schema, reasons about relevance, compiles them into the outputs your teams use, and cites every claim. It also respects source terms, which indiscriminate scraping does not.
Can it use paid data we already subscribe to?
Yes, within the licence terms, and it is usually the best source. Where there is no subscription, we say what public sources will and will not support before anything is built.
How do we trust what it produces?
Through citations on every claim, an evaluation set of known items it must find, and analyst review that feeds back into it. Intelligence without sources is rumour, and the agent is built not to produce it.
Pick the intelligence your teams most need and least have
That is the first briefing to build.