We design and build practical AI solutions that understand information, work with your existing systems, and help teams move from manual effort to measurable business outcomes.
Explore workflow automation, customer engagement, CRM intelligence, document intelligence, knowledge systems, custom agents and applications — with low-code support when you need it.
AI is designed around your business context, systems and rules — not bolted on as a generic chatbot.
Our approach adapts to the language, controls, data and operating model of your industry — from financial services and insurance to healthcare, manufacturing, retail, technology and professional services.
AI frameworks. Enterprise platforms. Custom engineering.
We combine modern AI frameworks such as LangChain, LangGraph, LlamaIndex, PydanticAI and agent frameworks with FastAPI, vector databases, guardrails and evaluation tooling, alongside enterprise platforms including Appian, Camunda, Power Apps, Power Automate, n8n and Zapier to build production-ready AI solutions.
Focused capabilities for the workflows, customer interactions, documents and knowledge that matter to your business. Explore an offering, then go deeper on its dedicated page.
Workflows that understand a request, decide what should happen, and act.
AI that reads a conversation, understands intent, and knows when to hand it to a person.
AI that reads what actually happened, and keeps the CRM honest about it.
AI that reads a document the way an expert reviewer would.
AI that reads everything you already know, and answers with evidence.
Deployed AI workflows and agents, operated, monitored and improved as an ongoing service.
Multi-step agents that plan, use tools, remember context, and act with approval built in.
A full application — frontend, backend, database and AI layer — built around a specific need.
Ongoing engineering support for Appian, Power Platform, Camunda and Mendix — maintenance, backlog clearance, new builds and production support from one team.
We start with one valuable process, design the AI around your rules and systems, measure what changes, and expand only when the result is clear.
Identify one high-value process.
Build and deploy the AI for that one process.
Measure the outcome.
Connect additional systems.
Expand across teams.
Illustrative examples of the kinds of workflows we can redesign and the measures you can use to evaluate them.
A scenario showing how inbound leads could move from inquiry to a routed, CRM-updated record without manual triage.
Illustrative workflowA scenario showing how support email could be classified, drafted and routed before reaching a support agent.
Illustrative workflowA scenario showing how incoming documents could move from intake to a validated, system-of-record update.
Illustrative workflowA scenario showing how scattered documentation could become a single, governed, searchable resource.
LocusPhi