Loam AI — Reason
Your most powerful thinking. On demand.
Reason agents run the most capable models available — built for the problems that actually require thinking. Deep research, multi-step reasoning, cross-system analysis. The kind of work that used to take a senior analyst a week.
“We've entered three new markets in four years. What patterns predict which ones succeeded — and does the opportunity we're evaluating now fit that profile?”
Based on your decision history, two factors predict market-entry success with 80%+ consistency: existing client density in the adjacent segment and a local channel partner signed before launch.
Finding 1 — Client density
Markets entered with 5+ existing clients in adjacent verticals showed 2.3x faster time-to-revenue vs cold entries.
Finding 2 — Channel readiness
All three successful entries had a signed channel partner before go-live. The failed entry (DACH, 2023) did not.
Finding 3 — Current opportunity
The evaluated market scores well on density (8 clients) but has no confirmed channel partner. Recommend pausing until partner pipeline matures.
The analyst you always wanted.
There are problems that deserve serious intellectual horsepower. Why is churn accelerating in this segment? Should we enter this market, and what does our own decision history say about how we've fared in similar bets? What's really driving the gap between our top and bottom performers?
These aren't questions you answer with a search. They require pulling evidence from disparate sources, holding competing hypotheses, weighing precedent against current context, and arriving at a considered position. Until now, that meant a week of analyst time, an expensive consultant, or leaving the question unanswered.
Reason agents do this work in minutes. Backed by the best available models, with full access to everything your organisation knows.
What makes Reason agents different
Best-in-class models
Reason agents are routed to the highest-capability models available — built for extended reasoning, complex inference, and problems without obvious answers. When the question is hard, you want the best thinking applied to it.
Deep research mode
Reason agents don’t stop at the first plausible answer. They run multi-step research loops — forming hypotheses, querying for evidence, stress-testing conclusions, and refining until the answer is defensible. The same rigour a good consultant applies, without the billing rate.
Full organisational context
Every Reason query draws on the complete intelligence layer — decision traces, communication patterns, norms, precedents, and data from every connected source — scoped to exactly what the requesting user is permitted to see.
Structured conclusions
Outputs aren’t walls of text. Reason agents return a position, the evidence that supports it, the assumptions made, and the confidence level. Something you can act on or present, not just read.
The problems Reason agents are built for
Strategic decisions
“We’ve expanded into three new markets in the last four years. What patterns predict which ones succeeded — and does this new opportunity fit the profile?”
Multi-variable analysis across your entire decision history.
Performance diagnostics
“Our top-performing region is closing twice the rate of our worst. What’s actually different about how they operate?”
Cross-referencing behaviour patterns, decision histories, and outcome data to find the real answer, not the assumed one.
Risk assessment
“We’re about to make a significant pricing change. What does our history tell us about how clients respond to this, and where are the likely failure points?”
Precedent analysis combined with current relationship intelligence.
Competitive response
“A new entrant is targeting three of our largest accounts. What do we know about how each of those clients makes switching decisions, and what’s worked to retain them before?”
Intelligence assembly that no individual could complete in a reasonable timeframe.
Stop guessing. Start reasoning.
Give your team an AI analyst that knows your business as well as your best people do.