Clearskies gives AI complete revenue context. Our forward deployed revenue engineers help your team turn that context into production briefs, workflows, analyses, and agents.
The hard part is not asking a model a question. It is connecting the right evidence, encoding the business context, shaping the workflow, testing the output with real operators, and making it reliable enough for revenue leaders to use every week.
The first build should be specific enough to trust and valuable enough to change an operating rhythm.
Daily or weekly executive briefs that show what changed, what matters, where risk is emerging, and which evidence supports the readout.
Workflows that detect real silence, stalled progress, missing stakeholders, slipping next steps, and risk signals spread across systems.
On-demand research packs for customer meetings, executive escalations, QBRs, renewal reviews, and strategic accounts.
AI workflows that update CRM fields from actual calls, emails, and deal activity in the format your team defines.
Deep revenue analysis across months of calls, emails, CRM notes, Slack threads, reps, segments, competitors, and outcomes.
Evidence-based coaching and methodology checks grounded in what happened in the deal, not what was self-reported.
We start with the decisions, meetings, operating rhythms, and workflows where better context would change the outcome.
CRM, calls, email, calendar, Slack, and the operating rules around your revenue motion: territories, stages, product lines, methodology, and ownership.
We turn the context layer into working briefs, monitors, analyses, agents, or writebacks that fit how your team already operates.
We refine answer quality with your operators, document what is running, and leave behind workflows your team can keep improving.
“I have Clearskies MCP connected to Claude which also connects into Amplitude, M365, and Atlassian. I'm running daily and weekly CEO Briefs on sales, competition, product sentiment, customer success, and customer health. I'm getting a level of insight that would have been impossible or massively labor intensive before.”
— Jake Olsen, CEO at Stratus
Forward deployed revenue engineers build on the Clearskies context layer your team continues to own and use. The work is not a static report or a throwaway prototype. It is a production workflow on top of your resolved revenue context.
Built by the team behind Scratchpad, Clearskies brings years of revenue workflow fluency into the AI context layer.