Applied AI Lab

Stop piloting. Start shipping.

We build AI agents, tools, and automations that run inside your business. Not slide decks about AI. Not 12-week assessments. Working systems, deployed in days, grounded in Horizon Search Institute research.
Is My Workflow a Good AI Build? Describe Your Build
88%
Use AI, Few Scale It · McKinsey
63%
No AI Governance · IBM
95%
AI Pilots Show No P&L Impact · MIT
Built and Running

Real systems deployed in days, not decks delivered in quarters.

Every example below is a working system. The problem, what we built, how long it took, and what it replaced.

Agent
14-person ops team spending 6 hours/week scanning regulatory changes across jurisdictions
Monitoring agent that scans policy changes, classifies relevance, and delivers structured alerts to legal and compliance. No noise, no missed updates.
3 days
Replaced: manual scanning + email chains
Agent
Research team manually validating sources, checking editorial standards, and routing content through four approval stages
Research intake engine that processes raw signals, validates sourcing, checks editorial voice, and routes content through a multi-stage publication pipeline.
4 days
Replaced: manual review + Slack threads
System
One research brief took three people and two days to turn into social posts, newsletter content, and grant data points
Content atomization pipeline. One input produces five formatted outputs across channels. Same brief, five times the reach, fraction of the labor.
1 week
Replaced: 2 days of manual reformatting
Tool
Board-level AI readiness conversations happening without structured data, frameworks, or benchmarks
AI readiness assessment engine: 9-step diagnostic, instant board-ready brief with governance gaps, risk profile, and prioritized recommendations.
2 weeks
Replaced: unstructured consulting calls
Tool
Executive coaching matches made by gut feel, no ROI measurement, coaches vetted by reputation alone
Coaching intelligence platform with hybrid human-AI matching across 12 dimensions, Stripe billing, calendar integration, and ROI measurement.
8 weeks
Replaced: spreadsheets + referral networks
System
Prospect outreach required manually researching each company and building a custom demo tailored to their industry
Prospect demo generator that takes a company name, researches context, produces industry-specific radar charts, ROI calculations, and a ready-to-send demo.
1 week
Replaced: 45 min/prospect manual research

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What We Build

Three categories. One promise: it ships.

Agents

AI Agents

Autonomous systems that do real work. Research, qualification, triage, monitoring, scheduling, reporting. Governance and human-in-the-loop controls built in.

Deployed in 2 – 5 days
Tools

Internal AI Products

Custom-built products for your specific context. Assessment engines, matching systems, dashboards, intake workflows, decision-support interfaces. Designed for your team.

Deployed in 1 – 3 weeks
Systems

AI Infrastructure

Multi-agent architectures, workflow orchestration, and integrated AI operations across your stack. For organizations making AI a core operating layer.

Deployed in 3 – 6 weeks
How It Works

No audit phase. We build.

01
You Describe It
Submit a build request. Tell us the workflow, the pain, the outcome you want.
02
We Scope It
Within 48 hours: what we'll build, what it integrates with, what it costs.
03
We Ship It
Working system in your environment. Monitoring, docs, and handoff included.
04
We Prove It
Every deploy is instrumented. You see the before/after in time, cost, or revenue.
Research Foundation

Horizon Search Institute

Every build is grounded in HSI's Responsible AI and Human Performance research pillars. We deploy tools with governance, measurement, and frameworks your organization can trust and your board can defend.

Governance Built In

Not Bolted On

63% of organizations have no AI governance policies. Every system we build includes access controls, audit trails, human-in-the-loop checkpoints, and documentation. Governance isn't a separate workstream. It's how we build.

David Lovejoy
Lab Lead
David Lovejoy
Founder, Horizon Search · Executive Director, Horizon Search Institute
Every system deployed through the Applied AI Lab is designed, built, and reviewed by David directly. Background in cross-cultural leadership across Asia, executive coaching (Rotman), and operational AI deployment.
Describe Your Build

Tell us what you need built.

Describe the workflow or the problem. We'll respond within two business days with what we'd build, how long it takes, and what it costs. If it's not a fit, we'll say so.

We respond within two business days.