Community Sentiment Intelligence
We read and clustered the community's mentions, then triaged them into product insights and critical alerts in about an hour. Every recommendation carried a named owner and a deadline.
Work
Client work comes first. Scope and outcome are accurate; the client stays anonymous. Our own properties follow, named in full so you can open them.
Client engagements
We withhold client names by default. Sector, scope and outcome are accurate; identifying detail is left out. Ask us and we'll arrange a reference conversation.
We read and clustered the community's mentions, then triaged them into product insights and critical alerts in about an hour. Every recommendation carried a named owner and a deadline.
Someone used to assemble the daily sales report by hand. We rebuilt it as a pipeline that runs overnight and has the report waiting when the team logs in.
We mapped inquiry to sales order to invoice end to end, found the bottlenecks, and handed over a three-phase digitisation roadmap.
A registry that keeps every contract accounted for and surfaces permit obligations before they lapse.
We moved records out of an operational system into a warehouse the business can query directly, so reporting reads from one source instead of five exports.
Our own properties
Know how long your cash will last: presisi.ai connects to your ERP or accounting software and answers whether next month is covered, with weekly projections and every figure traceable to the ledger. Waitlist open.
Blueprint turns a raw idea into a defensible requirements draft: an adaptive interview that challenges root cause, premise and alternatives the way a good product manager would, and logs every claim the requester makes. It runs the same method we use to pressure-test big decisions. In private beta.
How one AI assistant becomes a squad of agents, written up from practice.
Tell us where the business still runs on one person's memory. We'll say whether AI should touch it, and what a first phase would take if it should.
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