AI / Context & Continuity
Help AI remember the work without remembering everything.
Preserve the decisions, sources, and unfinished work that matter. Leave behind what is private, stale, or no longer useful.
Keep the thread of the work.
AI often starts each conversation with an empty desk. A person must explain the goal, history, rules, and earlier decisions again.
We design how useful context can move from one approved step to the next, so people spend less time rebuilding the same background.
Decide what deserves to be remembered.
Not every message should become a permanent record. We separate durable context, such as approved decisions and operating rules, from temporary notes, guesses, and sensitive details that should expire.
Each kind of context receives an owner, a source, a useful life, and a rule for correction or removal.
Keep memory inside the same boundaries as the work.
Context does not get a free pass around security. The same identity, permission, retention, and deletion rules that protect the source must also protect what AI remembers.
The system records where important context came from and who may use it. When access changes, the remembered context must change with it.
Test whether continuity helps or quietly drifts.
Old context can become a confident mistake. We test what happens when facts conflict, a policy changes, a person corrects the system, or a task resumes after an outage.
Important decisions remain visible. People can correct the record, and the system can stop when the context is too weak or uncertain to continue safely.
Leave with continuity your team can govern.
You receive a map of the context each workflow needs, the sources it may use, who owns it, how long it lasts, and what happens when it is changed or deleted.
The result is not endless memory. It is enough reliable context for the work to continue without losing the rules that keep it trustworthy.