Your team repeats the same admin every day.
Copying information, chasing updates, preparing documents, sending reminders, and moving work between tools.
Hunter Engine designs practical AI operating systems for growing small businesses. I connect workflows, data, people, and software so your team spends less time chasing tasks and more time running the business.
Hunter Engine is designed for small teams that are already busy enough to feel the cost of disconnected operations.
Copying information, chasing updates, preparing documents, sending reminders, and moving work between tools.
Email, spreadsheets, CRM, messaging, documents, and project tools all hold different pieces of the business.
The owner or manager becomes the routing layer for approvals, questions, handoffs, and decisions that should already have a system.
Not a chatbot package. Not a pile of automations. I design the operating layer that connects the pieces together.
Your system is scoped around a real operational bottleneck first. Start with one department, connect the next one only when it creates measurable value.
Explore working demonstrations of workflows, records, AI assistance, approvals, exceptions, and management visibility in context.
One connected operations layer across sales, HR onboarding, booking, approvals, activity, and shared knowledge.
Lead intake, estimating, dispatch, field handoffs, change orders, invoicing, and visible exceptions for trades teams.
A property operations workspace for enquiries, viewings, listings, offers, relationships, and transaction milestones.
Evidence-based candidate matching with structured job intake, recruiter-controlled submissions, interview operations, and compliance checks.
Recurring practice operations for document chasing, month-end close, transaction exceptions, review, and client communication.
Front-desk and scheduling automation with firm boundaries around clinical questions, safety language, consent, and treatment decisions.
The goal is not maximum automation. The goal is a system your team can actually trust and use.
Identify bottlenecks, repetitive work, software, data, handoffs, approvals, and ownership.
Define the architecture, source of truth, AI roles, automations, permissions, and human controls.
Create the workflows, integrations, assistants, internal tools, and dashboard required for the agreed scope.
Test with real work, train the team, monitor edge cases, and improve the system as the business changes.
Implementation is scoped to complexity. Ongoing management keeps the system reliable, current, and improving.
Software, hosting, AI/API usage, SMS/email usage, and third-party subscriptions are billed separately.
The sweet spot is an owner-led company where operational friction is already costing time, focus, and growth. My best-fit niches are construction and trades, property and real estate teams, recruitment firms, small professional-services companies, bookkeeping and accounting firms, clinics and aesthetic businesses, and small agencies with operational pain.
Enough moving parts for AI operations to create real leverage without enterprise-level complexity.
The business runs across spreadsheets, email, CRM, chat, documents, and owner memory.
The person feeling the bottleneck can approve a system without months of procurement and committee meetings.
Often too little operational complexity to justify a custom operating system.
Security, procurement, governance, and implementation usually require a larger delivery team.
Hunter Engine is for operational systems, not isolated AI features with no connection to the business.

I design and build practical AI operations systems around real business workflows.
Through Hunter Engine, I map the work, design the architecture, build the system, and review how it performs in use. That means understanding the handoffs, exceptions, and decisions as carefully as the software.
You work directly with the person designing and building your system-without an account-manager layer or junior handoff.
Scope, costs, tools, and the people who stay in control.
At Hunter Engine, an AI operating system is a connected operational layer across your workflows, data, people, and software. It can combine AI assistants, integrations, knowledge systems, dashboards, and approvals around an agreed business process.
Hunter Engine focuses on owner-led businesses with roughly 5–15 employees, recurring manual work, and disconnected tools. A clear operational bottleneck and someone able to own the process matter more than headcount alone.
Builds typically cost $5,000–$12,000 USD, depending on the agreed scope and complexity. Implementation uses 40% / 30% / 30% payment milestones and includes documentation, team handover, and 30-day launch support.
Management is $1,500–$2,000+ USD per month after launch support. It covers monitoring, workflow optimisation, integration upkeep, minor improvements, dashboard maintenance, troubleshooting, and operational review. Major new scope is quoted separately.
The starting point is the tools you already use. I assess the available connections, permissions, and information sources before recommending changes. Software, hosting, AI/API usage, and SMS or email usage are billed separately.
Yes. Human approval points are defined during system design. The agreed workflow identifies which actions can run automatically, which require review, and who handles exceptions.
The schedule depends on the workflow, integrations, and readiness of your information. Delivery milestones and dependencies are agreed after mapping the operation; there is no single timeline for every build.
Yes. Hunter Engine is a boutique, solo-specialist service. You work directly with the person mapping the problem, designing the architecture, building the system, and reviewing the result.
Barbara reviews your business, workflow, budget, and timing details for fit, then follows up by email about the most useful next step.
A practical guide to AI operating systems for teams of 5–15 people: workflows, knowledge, integrations, approvals, and the people who own them.
Read guide →Choose a first AI workflow using frequency, manual effort, data readiness, exceptions, and approval risk. A practical checklist for owner-led small teams.
Read guide →Understand Hunter Engine’s $5K–$12K AI operations builds, scope drivers, ongoing management, software costs, and the questions to ask before starting.
Read guide →Start with a systems conversation. I’ll look at where work gets stuck, what should stay human, and where an AI operating layer could create real leverage.
Request a Systems ReviewTell me about your business and where work gets stuck. I’ll review your inquiry and follow up by email.
Request my systems review →