AI leadership · AI agents · AI-native teams
AI agents for business workflows and products.
We help you choose where AI fits, build what is useful, and prepare your team to run it.
recruitingaccountingreal estatehardware products
contract received · review required
policy library · prior agreements · entity record
classify → extract → check → decide route
key fields extracted · exception flagged
named owner approves, amends or rejects
approved result written to system of record
The problem
Many teams have AI tools but no clear path from idea to useful capability.
Operating businesses need agents that fit established processes. Product teams need AI that helps their customers. Both need ownership, reliable data, and a way to review results.
We connect the decision, the build, and team adoption.
What businesses need to know
Selected client work
Anonymized examples across business operations and customer products.
A CPA firm wanted associates to handle large volumes of client files more efficiently and clients to understand their reports and next steps.
AI agents that read files, identify missing documents, and draft comments and new documents.
Associates can work from AI drafts. Clients can use an agent to understand reports, missing items, and recommended actions.
Resume screening and AI interviewer agents, plus a copilot for recruiter meetings.
Agents that help people find property information and related inspection or repair services.
Agents that help users understand and act on device output, including 3D scans and recordings.
What we do
Find the opportunity. Build the capability. Help people use it.
Fractional AI leadership for priorities, architecture, and delivery.
Where the work starts when nobody internally owns the AI decision.
Explore AI leadershipAgents and product capabilities built around real work and users.
Evaluation, observability and human review are designed in, not added after launch.
Explore AI implementationRole-based training that helps teams direct, review, and improve AI work.
Capability stays with your team after the engagement ends.
Explore AI-native trainingHow the work runs
Identify the business problem and expected impact.
Understand the workflow, data, systems, constraints, and people involved.
Build, evaluate, test, and define appropriate human review.
Integrate AI into the real workflow and prepare people to operate with it.
Improve what works, expand to new workflows, and strengthen internal capability.
The objective is not to launch more AI experiments. It is to build AI capabilities your business can actually use.
Enablement
Role-based programs that turn AI access into the ability to perform with AI — across leadership, management, business functions, and engineering.
Programs
AI-native workflows and stronger human judgment. Students can follow the same project-based learning pathway.
Curriculum
Why Inory.ai
We start with the business problem, workflow, user, and expected outcome — not with a model or AI tool.
We connect business and product understanding with hands-on AI implementation.
We can move from opportunity discovery through architecture, implementation, integration, evaluation, and adoption.
We design the right division of work between agents and people, including review, escalation, and accountability.
We help your team develop the knowledge and operating capability to continue improving with AI.
Insights
The constraints an established business arrives with — the process, the systems, the exceptions nobody wrote down — are not obstacles between you and the AI. They are the specification for it.
The usual selection method produces forty ideas scored on two axes nobody can estimate before building. Four questions predict a first workflow better, and every one of them is answerable in a week.
Most AI metrics are true and useless: activity counted as outcome, projection reported as result, a pilot cohort extrapolated to a department. Five parts fix all three.
Next step
Tell us about a workflow or product you want to improve. We will help you find a useful next step.
No AI solution needs to be defined before we speak.