Automate the work your team shouldn’t be doing manually

We design and build AI workflows that move work across your tools—reliably, with guardrails. Start with one high-ROI workflow, prove it end-to-end, then scale into a broader automation program.

Example agent workflowRunning
  1. 01
    TriggerEvent or schedule kicks off the workflow
  2. 02
    ContextFetch the right records, docs, and history
  3. 03
    AI stepExtract, classify, draft, or decide with guardrails
  4. 04
    ActionUpdate systems + notify the team

This is how “agentic automation” actually runs.

Model- and tool-agnosticWe choose what fits your constraints: accuracy, latency, cost, compliance, and existing stack.
  • OpenAI
  • Anthropic
  • Google
  • LangChain
  • Vercel
Workflows

What we automate

The best candidates are repetitive workflows that touch multiple systems. We’ll map the process, pressure-test ROI, and design safe automation with fallbacks.

Bring us yours
  • Sales

    Meeting notes to CRM updatesFollow-up remindersDeal stage tasks
  • Lead generation

    Email & form intakeLead enrichmentQualification summaries
  • Marketing

    Content briefsFeedback summariesPerformance reports
  • Internal processes

    Standup digestsKnowledge base Q&AWork summaries
  • Administration

    Folder organizationInvoice extractionAudit-ready logs
  • Recruitment

    Resume screeningInterview summariesCandidate shortlists
How we work

ROI in weeks, not quarters

We start with the workflow, not a tool. You get an automation you can run, measure, and extend.

  1. 1

    Discovery

    Map the workflow, identify failure modes, define success metrics.

  2. 2

    Design

    Integrations, guardrails, approvals, and “what happens when…” scenarios.

  3. 3

    Build

    Implement the workflow end-to-end with logging, retries, and evaluation.

  4. 4

    Launch + iterate

    Go live, monitor, tighten edge cases, then expand to the next workflow.

Production engineering

Built for production, not just demos

20+ hrs/wk
Typical time reclaimed
2–4 weeks
From kickoff to live workflow
Human oversight
Approvals, thresholds, auditability

The difference between a cool prototype and a workflow you can rely on is engineering discipline: evaluation, observability, safe fallbacks, and human-in-the-loop controls.

Evaluation & testing

Benchmarks on real examples, regression tests, and measurable quality.

Guardrails

Approvals, thresholds, validation rules, and safe fallbacks.

Grounded context (RAG)

Pull the right documents/data so outputs match reality.

Observability

Logs, traces, retries, and monitoring to keep workflows stable.

Success story · Legal tech

4Corners Legal: deposition summaries in hours, not days.

Custom AI summarizer built on Anthropic's Claude that processes 1000+ page legal transcripts and drafts comprehensive, template-ready summaries.

  • Turnaround reduced from days to hours
  • Consistent quality through proprietary templates
  • Scalable processing without additional hiring
4Corners Legal AI Deposition Summarizer Interface

Technologies: Anthropic Claude, PDF Processing, Custom Templates

Ready when you are

Ready to automate your workflows?

Let's find the right workflow to start with and get it running.