AI engineering
AI that actually works in your real business environment
You've tried automation tools that don't connect to how your business actually runs. We build AI and automation that fits your workflows — with clear boundaries, human oversight where it matters, and systems your team can trust in daily operations.
Start a conversationWhat you get
Concrete capabilities we deliver in ai engineering engagements.
Agentic workflows & governed tool integration
AI that can safely take action in your tools — agents that call your CRM, ticketing, docs, and internal APIs with policy gates, so automation compounds trust instead of bypassing it.
LLM fine-tuning, eval suites, and release discipline
When off-the-shelf models miss domain nuance, we pair fine-tunes with regression prompts, offline evals, and staged rollouts—not one-off prompt tweaks.
Retrieval, grounding, and human-in-the-loop handoffs
Answers grounded in your real data, with a person in the loop where it matters — RAG architectures and escalation paths tuned to the questions leadership actually asks.
Agentic workflows & governed tool integration
AI that can safely take action in your tools — agents that call your CRM, ticketing, docs, and internal APIs with policy gates, so automation compounds trust instead of bypassing it.
LLM fine-tuning, eval suites, and release discipline
When off-the-shelf models miss domain nuance, we pair fine-tunes with regression prompts, offline evals, and staged rollouts—not one-off prompt tweaks.
Retrieval, grounding, and human-in-the-loop handoffs
Answers grounded in your real data, with a person in the loop where it matters — RAG architectures and escalation paths tuned to the questions leadership actually asks.
Ready to talk through your roadmap?
Share where you are on budget, deadlines, and team capacity—we respond with next steps, not a sales script.
Want evidence first? Read the TAPinto case study