AI Execution & Strategy

From Ideas to
Deployed Systems
Using AI.

We design and implement workflows that compress execution time across product, sales, and operations.

AI Execution,
Not Experimentation

AI Assessment

The RAI Framework. We identify where AI will deliver the highest ROI across your operations — then build the roadmap to get there.

  • Identify highest ROI workflows
  • Map automation opportunities
  • Prioritize execution roadmap
  • 2-week engagement

AI Deployment

We connect your real data, build working systems, and deploy MVPs in 30 – 60 days. No slideware. Shipped product.

  • Connect data sources (legacy, cloud, local)
  • Build prototypes, dashboards, agents
  • Deploy working MVPs in 30 – 60 days
  • Automations connected to real workflows

Ongoing AI Execution Partner

Continuous iteration. We stay embedded to expand what works, integrate new platforms, and compress your backlog.

  • Backlog compression
  • Platform integrations
  • Workflow expansion
  • Continuous iteration

Use Case: CRM Dashboard
in One Day

A live CRM dashboard was deployed in less than a day, connected directly to Databricks via MCP. By comparing the output to existing product tickets, approximately 75% of roadmap features were implemented in under two hours of structured prompting.

This is what AI execution looks like when connected to real data and real workflows.

Built for Teams
Ready to Ship

Product Teams

Buried in backlog with more requests than bandwidth. AI can compress months into weeks.

Sales Organizations

Waiting on reporting, visibility, and pipeline intelligence that should already exist.

Ops Teams

Stuck in manual workflows that bleed time and introduce errors at every step.

Mid-Market Companies

Experimenting with AI but not seeing results. Ready for an execution partner, not another demo.

Four Steps to
Deployed AI

01

Diagnose

Identify the highest-leverage workflows where AI will have immediate, measurable impact.

02

Connect

Plug into your real data — CRMs, databases, vendor platforms, spreadsheets. Whatever you have.

03

Ship

Deploy a compressed MVP. Working software, not a proof of concept.

04

Measure & Iterate

Track outcomes, expand what works, and continuously improve.

Local AI Execution Node

For teams requiring tighter control, Recency Labs can deploy AI execution systems on dedicated local hardware (e.g., Mac mini) to retain operational memory and reduce vendor dependency.

Stop Experimenting.
Start Shipping.

Book a 20-minute strategy call. No pitch deck. Just a conversation about your highest-leverage workflows.

Book a Strategy Call