Technology & SaaS co-build workshop
Coming soonHalf a day with the people who do the work. You leave with one working agent on your own data, not a slide about one.
Engineering ships faster, support resolves quicker, sales closes more deals — all from the same platform, all on your own data.
Contact salesarrow_forwardEngineering, support and revenue teams question the same connected set of systems instead of each holding half an answer.
The agent writes the first reply with its sources attached and a person decides whether it goes out.
A new engineer or rep is pointed at the decision, the doc and the thread that explain how something works, without interrupting a senior colleague.
Each agent names what it reads, what it writes, and where a person still signs off. Open any card to see it in full.
Answers where a decision was made and what broke the last time
Turns the tickets that shipped into notes a customer can actually read
Drafts the first reply from past resolutions, with the sources attached
Spots the ticket that is really a bug and routes it with the evidence
Assembles what has actually happened on the account before the call
Answers a new joiner's questions from the docs, with links to read next
Every agent runs on systems you already use, through your existing permissions — no new data store, no re-permissioning exercise.
Capabilities designed around the specific knowledge workflows of your sector.
Engineers surface related bugs, past architectural decisions, and documentation from Jira, Slack, and GitHub in one query. No more interrupting senior colleagues.
Support agents get AI-suggested responses from past resolutions before they start typing. Ticket handle time drops from minutes to seconds.
Reps get full account briefings from CRM notes, email, and Slack conversations before every call. More context, better conversations.
Working sessions where teams build a first agent on their own data. Dates for the next round are not set yet.
Half a day with the people who do the work. You leave with one working agent on your own data, not a slide about one.
A live session on what the harness has to know before an agent’s output is worth reading.