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When one workflow works, make it a team system.

Seer Labs helps 50–500-person companies move from scattered AI experiments to repeatable workflows, shared playbooks, clear ownership, and production systems.

Talk through your team’s workflows Try the individual lesson first

01 The path

Four engagements. One capability loop.

Each stage produces something useful on its own. Together, they turn individual skill into a system a team can run and improve.

A typical audit reveals 5 to 8 opportunities. Training helps the team handle 3 to 5 themselves. Automation sprints build the harder 2 to 3.

01 Diagnose

Entry point — informs every engagement below

AI Readiness Audit

Find the workflows worth changing before you buy more tools or schedule more training.

Investment$3,000 to $5,000

Working time1 to 2 weeks

What we work through

  • Workflow mapping across 3 to 5 target departments
  • Stakeholder interviews (3 to 5 leaders)
  • Skill-level assessments across the team
  • Prioritized roadmap identifying highest-impact AI applications
  • Custom curriculum outline ready for the training engagement
02 Build

Core engagement — closes the Application and Team gaps

Custom AI Training

Turn the audit into role-specific workflows your team can run during real work.

Investment$8,000 to $20,000 per cohort

Working time2 to 4 weeks

What we work through

  • Custom curriculum designed from audit findings
  • 2 to 4 live workshop sessions (2 to 3 hours each)
  • Hands-on exercises using the team's real data and tools
  • Role-specific AI playbooks the team keeps
  • Manager enablement track on evaluating ROI and driving adoption
  • Explicit coverage of risk ownership and governance literacy
03 Reinforce

Ongoing layer — prevents the “training didn't stick” failure mode

Enablement Retainer

Keep working systems current, bring new hires in, and measure whether adoption holds.

Investment$2,000 to $5,000 per month

Working timeOngoing

What we work through

  • Peer learning hub (async Slack/Teams channel with coaching)
  • 30/60/90-day check-ins
  • Monthly “what's new in AI” briefings for leadership
  • New hire onboarding into AI workflows
  • Quarterly skill-gap reassessments
  • Adoption tracking, time-to-task improvements, team confidence scoring
04 Ship

Phase 2 — after training equips the team to be informed buyers

Automation Sprints

Build the production systems the team identified but should not have to engineer alone.

Investment$10,000 to $25,000 per sprint

Working time2 to 4 weeks

What we work through

  • Workflow automations (n8n, Make, Zapier)
  • Internal AI assistants and custom chatbots
  • CRM integrations and document processing pipelines
  • Search-and-answer systems built on company knowledge bases
  • Deployment to production with monitoring

02 The starting rule

Diagnose before you train. Train before you automate.

The audit creates the shared map. Training lets the people closest to the work test what belongs in that map. Only then do we build the systems the team cannot—or should not—build alone.

See the Five Gaps diagnostic

Bring Seer Labs into your company

Start with the work.
Leave with a system.

$3K to $5K. One to two weeks. A fixed-scope audit that tells you what to build next.

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