Arizona technology solution
Put AI inside a working process with controlled access, human approval, and a measured result.
What changes
Capabilities
Agentic AI, in plain English
Generative AI creates an answer. Agentic AI can pursue a defined outcome: it gathers permitted context, chooses among approved steps, uses connected tools, records its actions, and escalates when the work crosses a boundary. The purpose is to reduce coordination and duplicate entry while a person remains accountable.
Test AI readinessPractical uses
These are patterns, not boxed products. The right implementation depends on the process, data, systems, risk, and owner.
Read an email, form, or Teams message; identify the request; collect missing details; create or update the right ticket; and route it to the correct owner.
Less triage time and fewer requests lost between inboxes.
Classify incoming documents, extract defined fields, compare them with a checklist, flag missing evidence, and assemble a review packet.
Faster insurance, compliance, vendor, legal, and client-review workflows.
Summarize a meeting, draft the follow-up, update CRM fields, create tasks, and remind the owner when a commitment is approaching.
Cleaner records and fewer opportunities lost to administrative delay.
Match invoices to approved vendors, identify exceptions, prepare coding suggestions, and route payment-change requests through a verification workflow.
Less manual checking and stronger fraud resistance.
Retrieve answers from approved policies, project records, contracts, and operational data; cite the source; and assemble recurring leadership reports.
Faster answers and less time rebuilding the same report every month.
Coordinate onboarding or offboarding tasks across identity, devices, applications, training, facilities, and documentation.
Fewer missed steps and a complete evidence trail across departments.
Turn site updates, photos, notes, and messages into structured daily logs, action lists, RFIs, and stakeholder summaries.
Less duplicate entry and earlier visibility into blocked work.
Watch an approved queue, detect when an item falls outside normal rules, gather context, recommend the next action, and escalate to the named owner.
Routine work keeps moving while unusual work reaches a person sooner.
Controlled autonomy
Most organizations should begin with assistance or approval. Broad credentials and open-ended goals create avoidable risk.
Retrieve, summarize, draft, and cite. A person performs every action.
Propose the next step using defined rules and evidence. A person chooses.
Prepare the action inside the business system and wait for an accountable approval.
Complete low-risk, reversible work inside explicit limits; log every action and escalate exceptions.
A bounded first pilot
The pilot starts with the organization's own volume, time, error, and risk data. The proposal places scope and cost side by side, and the number changes only when the agreed scope changes.
Discuss one workflowRequired controls
An AI agent needs the same access discipline applied to any non-human identity that can act inside business systems.
Agentic AI questions
Generative AI creates an answer. Agentic AI can pursue a defined outcome: it gathers permitted context, chooses among approved steps, uses connected tools, records its actions, and escalates when the work crosses a boundary. The purpose is to reduce coordination and duplicate entry while a person remains accountable.
Agents can triage requests, retrieve approved knowledge, process documents, update systems, prepare reports, coordinate tasks, and complete low-risk actions inside explicit permissions and approval rules.
Give it a named owner, least-privilege identity, approved data boundaries, human approval for consequential decisions, complete action logs, exception handling, testing, rollback, and a measurable stop rule.
Related methodology
Move from shadow use to governed, measurable adoption.
Related guidance
Employees hide useful AI tools when the organization provides no fast, credible way to evaluate and approve them.
Read insightAutomation speeds up every existing decision, including the unnecessary ones. Simplify the work, define exceptions, and measure the baseline before adding AI.
Read how-toA week-by-week plan for putting AI into a small business without creating a data leak, a shelf-ware license bill, or a staff revolt.
Read how-toBuild the next decision