AI automation consulting for workflows—not hype demos

We add practical AI where it removes busywork inside existing operations— with permissions, audit trails, and human review where they matter.

AI consulting went off the rails when everyone started selling “AI strategy” without a workflow attached. We focus on narrow, measurable uses: summarize this queue, classify this intake, draft this follow-up—inside software your team already uses.

Diagnose My Workflow

What breaks today

The pain we hear on almost every intake

Chatbots that do not touch real work

Marketing has an AI widget; ops still reads every email manually.

No guardrails on sensitive data

Teams paste customer data into public tools because nobody designed an internal path.

Unclear ROI on AI experiments

Pilot projects impress in a meeting but never connect to hours saved or errors prevented.

What we build

Focused deliverables—not a vague retainer

Workflow-embedded AI features

Summaries, classifications, and extractions at the step where a human currently stalls.

Human-in-the-loop review

Approvals, confidence thresholds, and audit logs for regulated or customer-facing work.

Model and vendor flexibility

We integrate with the APIs that fit your cost, latency, and privacy constraints—not a single vendor religion.

How we work

One workflow, one milestone, expand from proof

Find tasks with clear before/after metrics

Minutes per ticket, error rate, or response time—something measurable, not “feels faster.”

Prototype inside one workflow

Shadow mode or review-first deployment before full automation.

Harden for production

Rate limits, fallbacks, logging, and cost controls before expanding use cases.

Questions

Straight answers

Most business wins come from orchestrating proven models inside workflows. We fine-tune or custom-train only when the data and ROI justify it.

Least-privilege access, explicit data boundaries, and deployment options that keep sensitive context out of places it should not be.

High-volume intake summarization, ticket classification, exception routing, or draft responses that humans approve before send.

Focused workflow AI often lands between $2k–$20k depending on integrations, review requirements, and evaluation work needed.

Diagnose one workflow. Get a bounded recommendation.

Answer a few targeted questions about one bottleneck and we’ll tell you whether a small first milestone is justified—usually around $2k–$20k depending on scope.

Scope-Lock Satisfaction Guarantee

Scope-Lock Satisfaction Guarantee: if the milestone does not match what we scoped, we keep working free until it does—or refund it if we miss after you hold up your end.