AI expertise, applied to your actual business.
We don't sell generic AI transformation. Every engagement is scoped around specific workflows, specific data, and a specific ROI target.
AI Strategy & Roadmapping
We start every engagement with a deep audit of your workflows, data, and tooling. You get a prioritized roadmap that ranks opportunities by ROI and feasibility, not hype.
- ✓Process & data readiness audit
- ✓Opportunity sizing and ROI modeling
- ✓12-month implementation roadmap
- ✓Build vs. buy recommendations
Custom Automation & Agents
Our engineers design and ship production-grade automations — from document processing to autonomous multi-step agents — tailored to your systems, not a generic template.
- ✓Workflow mapping and automation design
- ✓Custom agent development
- ✓Integration with your CRM, ERP, and internal tools
- ✓Human-in-the-loop safety controls
Model Integration & Fine-Tuning
We help you choose the right models, ground them in your own data with retrieval and fine-tuning, and build evaluation harnesses so quality holds up in production.
- ✓Model selection and benchmarking
- ✓RAG pipelines and vector infrastructure
- ✓Fine-tuning on proprietary data
- ✓Evaluation and guardrail frameworks
Managed Support & Optimization
AI systems aren't a one-and-done deploy. Our managed support keeps models, prompts, and automations tuned as your data and business evolve.
- ✓Performance monitoring and alerting
- ✓Monthly optimization sprints
- ✓Cost and latency tuning
- ✓Dedicated Slack channel with our engineers
A process built to ship, not stall
No 6-month discovery phases. We move in tight cycles with visible progress every step.
Discover
We audit your workflows, data, and systems to find the highest-ROI opportunities.
Design
We scope a solution architecture and get alignment before writing production code.
Build
Our engineers ship in weekly increments with working demos, not slide decks.
Operate
We monitor, tune, and iterate post-launch so performance holds up at scale.
Common questions about our engagements
How long does a typical engagement take?+
Most engagements move from kickoff to a first production deployment in 6-10 weeks, depending on data readiness and integration complexity. We scope this precisely during our discovery phase.
Do we need clean data before starting?+
No. Part of our process includes a data readiness audit, and we frequently build the pipelines needed to get your data into a usable state as part of the engagement.
Can you work with our existing tech stack?+
Yes — we design around your existing systems rather than asking you to rip and replace. Our team has integrated with most major CRMs, data warehouses, and internal tooling.
What happens after launch?+
Every engagement includes a support and optimization phase. Many clients move to our Managed Support retainer to keep systems tuned as their business evolves.
Is our data used to train external models?+
Never. Your data stays within your environment or a dedicated, isolated instance, and is never used to train third-party foundation models.