Manufacturing
Turn customer POs, quality documents, supplier records, and work instructions into validated production work.
Use cases by industry
Built for the work behind the business.
Mid-market companies run on documents, inboxes, spreadsheets, portals, policy, and institutional knowledge. Avery turns those exact inputs into controlled, repeatable work.
8industry packs with high-friction jobs that create measurable value without a systems overhaul.
Industry packs
Start where the operational drag is highest.
The strongest first agent is usually document-heavy, repetitive, rules-bound, and currently dependent on a skilled person re-keying or reconciling information.
Logistics & 3PL
Reconcile multi-document shipment packets, customer instructions, and strict TMS requirements without re-keying.
Wholesale & distribution
Automate order intake, invoice checks, stock exceptions, and turn fragile operating spreadsheets into team apps.
Financial services
Apply approved policy to client documents, compliance questions, and recurring reporting while preserving review.
Insurance & risk
Build complete claim files, process producer and policy documents, and surface exceptions for licensed review.
Healthcare operations
Keep sensitive HR, vendor, policy, and administrative documents local while standardizing first-pass work.
Professional services
Scale proposals, contracts, billing, research, and client response without scaling manual coordination.
SaaS & technology
Ground customer answers, review commercial terms, research accounts, and protect security or policy commitments.
Your rulebook, your workflow
Install the closest job and customize terms, thresholds, inputs, systems, and human approvals in plain language.
A sensible adoption path
One job. One team. One clean proof.
Avery does not require a company-wide platform rollout. Mid-market teams can prove one contained workflow, then carry the same controls into the next.
Preview
Install a template and run the included sample dataset—no systems connected.
Calibrate
Add real examples and your rulebook. Compare outputs to experienced operators.
Pilot
Connect one intake channel and keep every external action approval-gated.
Scale
Turn on schedules, expand volume, and deploy shared agents on-premise.
Start contained
Bring AI to the work—not the other way around.
Choose the workflow that hurts, install the agent, and prove it inside your existing operating environment.