Same channels. No shared memory.
Important calls happen in Slack, but the final decision, risk owner, and source evidence stay scattered across threads.
Verachi connects read-only to the tools your team already uses, then turns scattered context from Slack, GitHub, Microsoft Teams and Jira into decisions, risks, owners, and source links your team can inspect.
The team is capable, fast, and already using the right tools. The failure mode is simpler: the reasons behind product and technical decisions never become a shared record. Model the assumptions before you trust the number.
Time and money burned on "decision archaeology"—searching Slack, re-reading old tickets, and asking the same questions again.
Time and budget returned to building. This model assumes Verachi helps recover 60% of context-reconstruction time; your pilot should prove or revise that rate.
Default model: 6 people, $200K fully-loaded annual cost, 12 context-reconstruction hours per person per week, and a 60% recovery target. Treat it as a planning model, not a guaranteed outcome.
Important calls happen in Slack, but the final decision, risk owner, and source evidence stay scattered across threads.
Verachi watches the same workspace, captures the decision, links the risk, and posts a cited answer back where the team is already working.
Rationale: fraud-review coverage is not complete for high-risk payment methods. Related risk is still open and assigned to Security.
Verachi reads from your existing tools with read-only connections. No migration, no new process, no ramp-up time. Your team keeps working where they already work.
Verachi turns scattered Slack threads, tickets, and pull requests into cited delivery records your team can act on.
Record what was decided, why it was chosen, who reviewed it, and which source artifacts prove it.
Keep severity, owner, state, mitigation notes, and false-positive closures visible before launch.
Link related decisions, projects, and source artifacts so review work stops depending on memory.
Answers come back with source references, confidence signals, and the operational record behind them.
Before a rollout, Verachi should be able to show your team exactly what it captured, which sources support it, and what it can or cannot write back to your systems.
Slack, Jira, GitHub, and Teams connections start with read access. Optional write-backs are configured explicitly and logged.
Every sync, generated summary, and external write-back is visible in the workspace audit history.
The pilot includes a connector-scope review, data-boundary walkthrough, and success criteria before production use.
Start small, scale as you grow. Every plan includes cited decision records, risk workflows, and user-visible audit history. Access starts with a short pilot so connector scopes and success criteria are agreed first.
For small teams that want durable recall with a scoped pilot and light AI usage.
For growing organizations that need Gemini 2.5 model choice, BYOK, and more headroom after proof.
For tenants that need frontier Gemini preview access, governance review, and custom rollout controls.
No self-serve account is created from this page yet. The first step is a pilot request so your admin can approve data boundaries before Verachi reads workspace context.
See Verachi on your own data boundaries first. We’ll review connector scopes, show the record shape, and agree how the pilot proves or rejects the ROI model.
The default ROI model uses a 6-person team, $200K fully-loaded annual cost, 12 context hours per person per week, and a 60% recovery target. Your pilot should replace those assumptions with evidence.
Thanks for reaching out. We’ll review your request and follow up by email.