Scope & Build
We define the highest-value pipeline, set the success metrics, and build the first automation or agent around the workflow that matters most.
Build & Scale AI Systems
Turn your roadmap into compounding systems.
We build the agents, automations, and execution layers that make impact permanent. Automated impact with humans where judgment matters.
Sample automation pipeline
Inbound Sales Agent
Start with one concrete workflow and one measurable proof point. Then expand from a stronger baseline.
80%
Automated
12 hrs
Saved / week
3x
Proposals / week
Inbound lead capturedAUTOMATED
AI enriches and scores leadAUTOMATED
Custom proposal draftedAUTOMATED
H
Human reviews and sendsHUMANFollow-up sequence triggeredAUTOMATED
Lead pipeline example
Start with one workflow. Expand as you see results.
We keep the first engagement tight on purpose: one workflow, one measurable proof point.
Deploy & Measure
We roll it into production, instrument the savings, and tighten the handoffs so the system works inside the way your team already operates.
Expand & Compound
Once the first workflow proves itself, we extend the model into adjacent processes, stack new wins, and keep updating the roadmap with what the data says.
What we build
Build Durable AI Systems that Compound Productivity
We scope and build the agents, automations, and advisory infrastructure that create measurable leverage inside the workflows that matter most.
Workflow Automation
When to use it
You have manual processes that eat hours every week and follow predictable patterns.
What we build
End-to-end automations that eliminate the repetitive steps your team does on autopilot every day.
Examples
- Automated reporting pipelines that run themselves
- Client onboarding sequences that trigger from a single input
- Data entry, back-office processes, and reconciliation workflows
Includes
- End-to-end process automation
- Human-in-the-loop where it matters
- Measurable time and cost savings
Custom AI Agents
When to use it
You need AI that does judgment-level work that's more complex than typical automation can handle.
What we build
From lead qualification to document processing to customer support triage, we build agents that do real work, not demos.
Examples
- Lead scoring agent that enriches and qualifies inbound prospects
- Proposal drafting agent that generates custom proposals from templates and context
- Internal Q&A agent trained on your company knowledge base
Includes
- Scoped from your assessment roadmap
- Integrated with your existing tools
- Monitoring and iteration included
Strategic AI Advisory
When to use it
You've built the first systems and need ongoing advisory to decide what is next as AI evolves.
What we build
Ongoing strategic partnership with vendor evaluation, roadmap updates, and change management support.
Examples
- Monthly operating reviews around active AI systems
- Vendor and model evaluation before new commitments
- Roadmap updates as new tools change the economics
Includes
- Vendor and tool evaluation
- Change management support
- AI roadmap updates as tech evolves
For engineering teams
If your team writes code, they should be writing it with AI.
CodeAlign cuts shipping time and reduces bugs by embedding AI directly into your team's existing dev workflow.
AI-assisted code review and generation
Prompt engineering for development workflows
CI/CD integration with AI quality gates
Model optimization for cost-effective AI features
AI-optimized prompt pipeline
// tuned for quality and cost
const pipeline = await createPipeline({)
model: "claude-sonnet-4",
temperature: 0.3,
optimization: "cost_performance",
});
// 25x cheaper than baseline
// 20% better output quality
const result = await pipeline.run({)
input: customerRequest,
context: companyKnowledge,
guardrails: true,
});
Case study
$52,000 in savings through model optimization.
One client was spending $52K/year more than they needed to on AI and didn't know it. In 3 months, we cut their costs by 25x while improving output quality by 20%. That's not a one-time fix with savings that compounds.
Read the full case study$52K
Annualized savings
25x
Cost reduction
20%
Performance improvement
3 mo
Measured timeline
Strategic partner
This isn't a build-and-disappear engagement.
Most AI implementations break within 6 months because the technology evolves faster than the systems built on it. We stay on as your strategic partner so your ROI keeps compounding.
Ready to build?