Understand
Consider what was said alongside the relevant context.
BRECOG · Cognitive Intelligence
Help your AI
choose a better
next step.
Better decisions begin with understanding what people mean.
We’re developing BRECOG to help conversational AI use context and evidence when deciding how to respond.
In development · Focused on measurable, practical use cases
An illustrative journeyFollow the evidence. Keep uncertainty visible.
SignalObservable cues from human interactions.
ContextRelevant background and circumstances.
InterpretationMultiple plausible meanings.
DecisionAn appropriate next step.
The opportunity
A good answer starts before the answer.
Check
Distinguish supporting evidence from what remains uncertain.
Respond
Choose a useful next step, including asking a clarifying question.
Applications we’re exploring
Where understanding
changes the outcome.
Find the real request.
Explore how context could help an assistant clarify an ambiguous issue and choose a more useful response.
Customer supportMake the conversation count.
Evaluate whether clearer interpretation can improve sales guidance and the consistency of practice conversations.
Sales and practiceKnow when to ask.
Investigate when an assistant needs more information before recommending the next step in a workflow.
Business workflowsAn illustrative example
One sentence.
Several possibilities.
“I need to talk to my team first” could mean a shared decision, a timing issue, or an unresolved concern.
The next question should help establish which interpretation fits. This synthetic example illustrates the approach; it is not a live product result.
“I need to talk to my team first.”
A useful next question
“Who else needs to be involved?”
Keep the possibilities open until there is more evidence.
Built around evidence
Value should
be demonstrable.
A better outcome needs a fair comparison.
Our proposed evaluation starts with one workflow and your existing approach. Together, we would define what improvement matters and compare quality, latency, and total cost.
See the evaluation process- 01
Choose a real problem
A recurring failure with a meaningful business cost.
- 02
Agree on the comparison
Representative cases and a well-configured baseline.
- 03
Measure what changes
Useful improvement, delivery effort, and any tradeoffs.
For teams building conversational AI
Start with a problem
worth solving.
Outline your workflow, the failure you see, and what a better outcome would look like.
Prepare an evaluation brief