Scenarios
What the platform adds up to for revenue, support, engineering and research teams.
Capabilities in isolation are hard to evaluate. Here is what they combine into.
Revenue teams
The problem. Your CRM says a deal is in negotiation. A rep's email from two weeks ago says it closed. The forecast is built on whichever synced last, and nobody knows the two ever disagreed.
What changes. The disagreement surfaces as a resolvable item with both sources attached. Someone who knows the account decides, and the decision is recorded with its author. Deal value, close date and headcount discrepancies between a proposal and the CRM are caught the same way — before they reach the forecast rather than after.
The compiled account profile means "what's the status of Acme?" is answered from a current one-pager rather than a trawl through email.
Support and success
The problem. The answer exists — in a ticket, a wiki page, a Slack thread and an engineer's head — and the person who needs it cannot find any of them.
What changes. One question searches everything at once and comes back with citations, so an agent can check the source before repeating it to a customer. The graph connects a customer to their tickets, their contacts and their contract without anyone maintaining those links by hand.
When an answer turns out to be wrong, the correction endpoint retires the stale document and stores the right answer — so the mistake is not repeated next week.
Engineering
The problem. Context lives in the codebase, the design docs, the incident history and the assistant conversations that produced half the decisions. None of it is searchable together, and the assistant starts from zero every session.
What changes. A space per project, connected to the IDE over MCP. The assistant reads project knowledge directly, and its conversations are captured back into the space — so the reasoning behind a decision survives the session that produced it.
Scope is per-space, so an assistant working on one repository cannot read another team's material.
Research and analysis
The problem. A new report contradicts an earlier one on a key figure and nobody notices until it reaches a slide.
What changes. Numeric conflicts above 15% and date conflicts beyond 30 days are flagged automatically. The health score shows which areas are thin on evidence rather than merely quiet. Bi-temporal facts let you ask what was believed at the time a decision was made — which is the question that actually matters in a post-mortem.
Regulated industries
The problem. The AI tool is useful and the security review will not approve it, because the vendor holds the data.
What changes. The memory runs on your server or in your cloud account. Content, embeddings, graph and usage stay there. A breach of Chordian exposes no customer knowledge, and a subpoena to Chordian produces nothing to hand over. Residency stops being a configuration promise and becomes a property of where the machine physically is.
Read Compliance before building a programme on this. Selective erasure and formal certifications are not there yet, and both tend to appear on regulated-industry checklists.