OpsPilot AI

AI automation planning for operations teams

OpsPilot AI helps organizations turn operational pain points into prioritized AI automation initiatives, implementation briefs, risk reviews, and measurable workflow improvements.

Try the public demo

Built for teams that know work is painful but need help deciding which AI automations are safe, valuable, and worth implementing first.

Product

From messy operations problem to implementation-ready plan

Structured intake: capture workflow, tools, constraints, desired outcome, and success criteria without requiring a perfect AI prompt.

Risk-aware review: surface human approval needs, sensitive data concerns, and rollout boundaries before implementation.

Prioritized roadmap: compare automation opportunities by value, feasibility, adoption needs, and operational risk.

The name

OpsPilot means an operating copilot, not a temporary project

The word “pilot” can mean a short trial run, and that is how we scope the first engagement. In the product name, OpsPilot means the copilot for operations: the system that helps teams navigate which AI workflows are worth building, how to review them, and when to expand them safely.

Pilot deliverables

What you get from a pilot

Workflow Intake Summary: a plain-English snapshot of the process, systems, handoffs, constraints, and desired outcome.

Automation Opportunity Scorecard: a practical comparison of value, feasibility, adoption needs, and operational risk.

Risk and Human-Review Checklist: approval points, sensitive-data boundaries, and rollout safeguards to settle before implementation.

Implementation Brief: a client-ready plan for what to build, who reviews it, and how the first rollout should work.

Rollout Recommendation: a clear continue, change, pause, or stop decision based on the pilot evidence.

How it works

1. Scope one workflow: choose a narrow, painful process with a clear team owner and success measure.
2. Review value and risk: compare upside, feasibility, human approvals, and data sensitivity before building.
3. Produce the pilot brief: turn the intake into an implementation plan a stakeholder can review.
4. Decide whether to expand: use the result to continue, adjust, pause, or stop — not to force a full rollout.

Plain-English definition

What is a pilot?

A pilot is a short trial run of one workflow before a company commits to using it across the business. The goal is to prove the automation is useful, safe, and worth expanding.

Small scope: one team, one process, and clear success criteria.
Human review: people still approve sensitive actions before anything goes live.
Decision point: continue, change, pause, or stop — not a full rollout by default.

Use Cases

Where OpsPilot fits

Recruiting and HR: follow-ups, onboarding steps, approvals, and coordinator-heavy workflows.

Client operations: status reporting, account handoffs, recurring updates, and internal review loops.

Knowledge operations: SOP routing, internal Q&A, process documentation, and repeatable support decisions.

Pricing

Transparent starting points before discovery

No hidden “contact us for pricing” step. Final scope still depends on workflow complexity, systems involved, review needs, and management responsibility, but prospects should see the starting economics up front.

Starter pilot

$950–$1,250 setup

One workflow, one team, clear success criteria, and a defined decision point.

Managed workflow

$99–$149/month

Managed light operations after launch: monitoring, support, reporting, and minor updates.

Standard workflow

$1,500–$2,500+ setup

Higher-complexity workflows with more systems, approvals, volume, or sensitive-data boundaries.

Managed standard operations

$199–$299/month

Ongoing managed support for a standard workflow after the pilot proves value.

Demo

Try a public-safe OpsPilot workflow

Public demo: sanitized walkthrough. Load a fictional scenario and view the static planning output. Demo fields are read-only sample data. Everything runs in your browser; no data is sent to a server.

Live pilot review: available by request. Approved live reviews use controlled private environments for generation and evaluation.

Do not enter confidential, client, patient, financial, or personal data.

Load sample scenario Department Current workflow

Coordinators manually follow up with hiring managers, candidates, and IT after an offer is accepted.

Pain point

Follow-ups are inconsistent, onboarding tasks slip, and managers do not know which approvals are still open.

Tools used Desired outcome

Create a reviewed follow-up workflow that summarizes status, flags missing approvals, and gives coordinators the next best action.

Priority snapshot

High priority

Strong fit when volume is recurring, the workflow is coordinator-heavy, and human approval remains in the loop.

Risk review

Moderate risk

Use fictional demo data publicly. In production, keep candidate data private and require human review before messages are sent.

Client-ready brief

Recruiting onboarding follow-up pilot

Automate the status summary and next-action draft while keeping coordinator approval before any outbound communication.

Start with one hiring team and one onboarding checklist.
Review missing approvals before any message is sent.
Measure hours saved, response time, and missed handoffs.

Example roadmap

Week 1: confirm intake fields and approval boundaries.
Week 2: test summaries against fictional onboarding cases.
Week 3: run with one coordinator and manager review.

View the sanitized showcase repository Client pilot implementation plan

About

Practical AI automation planning for operations teams

OpsPilot AI focuses on the decision layer before implementation: what to automate, why it matters, what risk exists, who needs to review it, and how success will be measured.

Contact

Request pilot access

Submit a short workflow note through the site. Your message routes server-side without displaying a direct email address.

Review implementation plan