Consulting services, by team
Who we work with, and what changes for each function. Sales, marketing, product, RevOps, support, research, engineering and leadership, each with its own page.
Every team we work with
Pick the team closest to yours. Each page shows a week before and after, the capabilities behind it, and what we do not promise.
Revenue
Sales, enablement, RevOps and support: the teams closest to the customer record.
Sales teams
Turn call recordings and deal notes into account briefs, objection guides and battle cards a rep can check against the source.
See howSales enablement
Keep the playbook, the battle cards and the onboarding material current from what reps hear, not from the last offsite.
See howRevOps
Connect the record across CRM, calls and tickets so a figure in a report can be traced to the record it came from.
See howSupport & success
Answer from your own documentation, tag what customers ask, and surface the themes before they show up as churn.
See howMarketing
Leadership, product marketing, growth and lifecycle: the teams that turn evidence into messages.
Marketing leaders
Ground campaigns, content and positioning in what customers say on calls and in tickets, with a citation behind each claim.
See howProduct marketing
Keep positioning, battle cards and launch messaging current from the evidence, not the last workshop.
See howGrowth & PLG
Find the accounts and behaviours worth an experiment, then keep the results where the next experiment can reuse them.
See howLifecycle & CRM
Segment on real engagement, draft sequences from your own material, and keep a person approving what goes out.
See howProduct & research
Product, UX research and data: the teams that decide what gets built and whether it worked.
Product & product ops
Mine interviews, tickets and churn notes for the requests and the reasons behind them, ranked with the evidence attached.
See howUX research
Tag and classify interview transcripts against your own taxonomy, with each theme linked to the quotes it came from.
See howData & analytics
Design the scoring models, the taxonomies and the pipelines that make the rest of the GTM stack's AI checkable.
See howEngineering & leadership
Engineering, founders and compliance owners: the teams that decide how AI runs and where.
Not sure which fits?
Most engagements start with one of three things. Each is a capability with its own page.
A report someone builds by hand
Recurring reports and digests
The weekly or daily summary someone assembles by hand today, delivered on a schedule to Slack or email with each figure traced to its source.
See the deliverablesA backlog of calls nobody has read
Transcript tagging and classification
Call, interview and support transcripts classified against a taxonomy you approve, each tag linked to the passage it came from.
See the deliverablesPositioning that has drifted from the evidence
Messaging and positioning
Positioning and messaging stress-tested against what customers actually say, with the proof gaps named.
See the deliverablesOr let us run it
A standing agent we host, monitor and keep running. You get the report; the pipeline stays our problem.
Managed agentsHow an engagement runs
One call to scope it, one fixed price to approve, one build you can trust before it goes live, then a handover.
The full process- 1
Scope the work
A thirty-minute call on what your team does by hand every week, where the information lives, and who needs the output.
- 2
Fixed price, ROI up front
You get a written proposal with a fixed price and an honest estimate of the hours it gives back.
- 3
Build beside your process
We design and build the automation and run it next to the manual version until the outputs match and you trust them.
- 4
Hand over, keep it running
Documentation and runbooks so your team owns it.
Tell us which team, and what it does by hand.
A thirty-minute call is enough to know whether a workflow is worth automating. We reply within one business day.