AI Integration & Automation

AI that does real work, safely.

We build agentic AI workflows: AI agents that plan and complete multi-step work across your tools, assistants that answer from your own documents, and automations that remove repetitive work. Every system has guardrails, evaluation and a human in the loop where it matters.

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What you get

Outcomes

  • Hours of repetitive work handled by agentic AI workflows: intake, triage, summaries, follow-ups and reporting.
  • Assistants that answer from your policies, sermons, knowledge base or product docs, with sources.
  • AI features in your product, built with cost, latency and privacy in mind.
  • A clear picture of where AI helps your organization, and where it does not.

Capabilities

What we do

  • Agentic AI workflows

    Multi-step workflows where AI agents read, decide and act across email, forms, CRMs, calendars and documents, with approval steps where a person should decide.

  • AI agents

    Agents that use tools and your APIs to complete tasks end to end, with logging, permissions and limits on what they can do.

  • RAG and knowledge assistants

    Search and chat over your own content, grounded in sources and kept current as the content changes.

  • AI in your product

    Summaries, drafting, search, translation and recommendations inside the apps your customers already use.

  • Evaluation and guardrails

    Test sets, quality metrics, content filters and monitoring, so you know the system works before and after launch.

  • AI readiness

    A short engagement to find the highest-value uses, the data you need and the policies to adopt.

Tools and platforms

  • Claude
  • OpenAI
  • Amazon Bedrock
  • Azure AI Foundry
  • Google Vertex AI
  • IBM watsonx
  • OCI Generative AI
  • Model Context Protocol
  • pgvector
  • n8n
  • Zapier

Questions

FAQ

Is our data used to train the models?

We use enterprise and API offerings whose terms exclude your data from training, and we keep sensitive data in your own cloud wherever possible.

What can an AI agent actually do for us?

Common examples are answering inquiries, triaging requests, preparing reports, updating records across systems and drafting follow-ups for a person to approve.

How do you stop AI from making things up?

By grounding answers in your own sources, citing them, testing against real questions and keeping a person in the loop for decisions that matter.

What will you build next?

Tell us about it. You will hear back from an engineer, not a sales team.