Question 1

How do you recognize it?

Accepted Answer

Assistants answer questions about email threads but go silent on Slack decisions, call outcomes, and file versions, so staff keep a parallel manual record anyway. Two people ask the same client question and get different answers because each assistant instance holds a different slice of context. Onboarding a new account coordinator takes weeks because the assistant's memory lives on one person's machine rather than in a shared, queryable place. Client-facing drafts arrive with confident details that no one on the team can trace back to a source document or meeting. Billable-hour recovery plateaus after the first month: the assistant saves typing time but not coordination time.

Question 2

Why does it happen?

Accepted Answer

Coverage gaps get mistaken for capability gaps. A tool that captures screen content, transcripts, files, and inboxes into an encrypted on-device database behaves very differently from one that only reads mail, and agencies rarely map which sources actually feed the assistant before rollout. Memory is scoped to a device or a seat, not to the agency. When the context store is local, the assistant's usefulness is capped by one operator's habits, and handoffs between account managers lose the accumulated record. No governance layer decides what the assistant is allowed to remember. Without a written rule for client-confidential material, teams either over-share into the memory store or avoid it entirely, and both outcomes kill adoption. Retainer work is judged on response time and consistency, but nobody assigns an owner to the assistant's context quality, so drift goes unnoticed until a client flags an inconsistency.

Question 3

How do you fix it?

Accepted Answer

Inventory the sources your assistant actually ingests this week, then list the three decisions per client that still require a human to reconstruct context manually. That gap is your real backlog. Pick one client account and run a two-week shared-memory pilot, routing meeting transcripts and project files into a single store that at least two team members can query, so you test handoff rather than solo productivity. Write a one-page data boundary: which client material may enter the assistant's memory, which may not, and who reviews it. Reco's $55M raise for AI agent security is a signal that clients will ask this question before you do. Tie the assistant to one measurable retainer metric, such as first-response time on client email or hours logged to status reporting, and review it at the monthly account meeting instead of tracking usage in isolation.

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