Growth & people teams

Give recruiting, sales, and marketing teams more time for judgment and relationships.

Commercial and people teams spend hours moving information between inboxes, documents, and CRM records. Follow-ups are inconsistent, research is repeated, and managers lack a current view of what changed. AI is useful here when it handles the preparation and leaves decisions with the team.

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Use cases

Use cases in this area

Each one identifies the operating problem, the system to deploy, and the outcome to measure.

Recruiting screening and coordination

The hard part

Recruiters read the same information across CVs, application forms, and notes, then lose time arranging interviews and updating candidates. Strong applicants wait while the administration catches up.

What we deploy

A recruiting assistant that organises each application against the role criteria, prepares a short evidence-based brief for the recruiter, and coordinates the next step once a person approves it.

Outcome target
Target: reduce recruiting administration time per vacancy by 40 to 60% while keeping every screening decision human-approved.
6 to 10 weeks to production

Sales follow-up and pipeline

The hard part

Salespeople finish calls with useful context in their notes and inbox, but CRM updates and follow-up messages happen late or not at all. Managers then forecast from an incomplete pipeline.

What we deploy

A sales assistant that turns meeting notes and emails into a concise CRM update, drafts the follow-up, and flags deals that have no owner, next step, or recent activity.

Outcome target
Target: give sellers 20 to 35% more time with customers and reduce qualified opportunities without a next step.
6 to 9 weeks to production

Marketing and competitive intelligence

The hard part

Teams manually check competitor sites, announcements, campaigns, and customer signals, then spend more time assembling slides than deciding what the changes mean.

What we deploy

A research assistant that monitors agreed public sources and internal performance data, groups meaningful changes, links each finding to its source, and prepares a concise weekly brief.

Outcome target
Target: reduce weekly research and reporting time by 50 to 70% and surface material competitor changes within one business day.
6 to 10 weeks to production

Systems

Works with the systems this area already uses.

We connect to the sources of record where the work already lives, while your data remains under your control.

See all systems
Greenhouse
LinkedIn Recruiter
Outlook
Microsoft Teams
Salesforce
HubSpot
Google Drive
Slack
Power BI

Start the conversation

Build the first one where the value can be proved.

We work back from the decision your team makes every day, then measure the deployment against an indicator you already understand.

See the deployment review

Start a conversation

Tell us what you want to explore, deploy, or teach. We reply within two business days.