From your first workflow to your hundredth.
Whether you're scoping a single agent or scaling a fleet across the business, we cover the full journey, from strategy through day-to-day operations. Every engagement ends with working software in production.
We build custom AI agents and AI as a Service for small and mid-sized businesses, tailored to your industry, your stack, and how your team actually works. We bring enterprise-grade engineering to companies without a large in-house AI team, and stay model-agnostic, deploying whatever fits your data and budget rather than whatever a single vendor sells. Our engineers embed with yours to find the highest-impact workflows and build the AI directly into your stack, so every engagement ends with working software in production.
Two approaches. One team.
AI Native. AI Assisted. We support both.
Every business sits somewhere on this spectrum. We help you figure out which approach fits each workflow, and deliver the right one.
AI Native
Rebuilt around AI from the ground up
The workflow is redesigned with AI at the center. Agents run the work end-to-end; humans approve edge cases, not routine steps.
- New workflow design, not a layer over the old
- Maximum throughput and consistency
- Compounding returns as the agent improves
AI Assisted
AI that augments your existing process
Your workflow stays intact. AI handles drafting, retrieving, summarizing, flagging, while your team makes the judgment calls.
- Works inside your existing systems and roles
- Lower change-management burden
- Natural on-ramp toward fully native over time
Most organizations run both. Our Strategy engagement maps which fits each workflow.
Service Lines
Four engagements. One agent lifecycle.
Engage us at any stage. Most clients start with Strategy or Build and stay for Operations.
01 · Strategy
Strategy & Roadmap
We map your workflows, find where agents return the most value, and produce a sequenced 12-month build plan with effort estimates and stop-rules you can act on.
- Workflow audit + ranked agent backlog by value, risk, readiness
- Reference architecture tailored to your stack
- Compliance footprint (HIPAA / FERPA / GDPR / SOC 2 as applicable)
What you get
A ranked agent backlog, a reference design tailored to your stack, and a procurement-ready SOW for the highest-value first agent.
02 · Build
Design & Build
The core engagement. We build the agent end-to-end: knowledge layer, tool actions, memory, guardrails, eval harness, admin console. Each capability lands one at a time. Weekly demos. No big-bang launch.
- Right model picked per workflow; switch to better ones with no rebuild
- Knowledge layer grounded in your truth, never invented facts
- Permissioned actions across your stack, audited from day one
What you get
A production-grade agent reaching Stage 2–4 on the capability ladder. Deployed in your environment with quality scores, audit logs, and an admin console.
03 · Integrate
Enterprise Integration
An agent is only as useful as the systems it can reach. Pre-built connectors where they exist; custom adapters where they don't, typically days, not months.
- CRM & ERP: Salesforce, HubSpot, NetSuite, SAP, Workday, Oracle
- Vertical: Klopotek, Arc XP, Canvas, Blackboard, Epic / Cerner via HL7-FHIR
- Service & comms: ServiceNow, Zendesk, Jira, Slack, Teams, Twilio
What you get
Every system the agent needs, connected with permissions, rate limits, audit logs, and graceful fallback when something downstream is down.
04 · Operate
Operations & Evolution
Launch is the start. We run on-call for your agent, watch performance, retire what isn't working, and move it up the capability ladder on a steady cadence. Most AI projects quietly stall a year in. We keep ours improving.
- 24/7 monitoring + regression testing on every change
- Quarterly capability reviews and roadmap updates
- Model upgrades when better ones ship, no rebuild required
What you get
Monthly ops report, quarterly capability plan, and an agent that's still earning its keep at the 12-month mark, climbing from Stage 2 to Stage 4.
Cross-cutting · Trust & Guardrails
Built in from day one. Not bolted on.
Every engagement ships with a trust layer that matches enterprise reality: identity, permissions, approval gates, audit, sensitive-data handling, compliance.
- Human approval gates for pricing, escalations, regulated communications
- Every decision logged with the agent's reasoning attached
- Compliance presets: HIPAA, FERPA, GDPR, SOC 2
For workloads where data can't leave your environment, see Private AI & Security, open-source models in your VPC, frontier via Bedrock / Azure OpenAI / Vertex, or air-gapped.
The honest answer
Agent + people, not agent vs. people. The agent reads the situation and picks the action; humans approve the moments that need approval.
Our Process
How an engagement runs.
Our engineers embed with your team across all four phases. Opinionated sequencing, short cycles, working software at every checkpoint.
Discover
Map the workflow, the systems involved, the trust requirements, and the stop-rules. Pick the highest-value first agent.
Design
Lay out the whole agent: what it does, what it knows, what it remembers, where humans approve. Aligned with your security and data teams from day one.
Build
Weekly demos against a real quality bar. Capabilities land one at a time. No big-bang launch. Always a working agent.
Operate
Launch behind feature flags, observe real behavior, climb the capability ladder. The agent gets smarter every quarter.