Focus the scenario
Start with frequent, necessary, and verifiable work; define roles and acceptance.
Solutions
Start with frequent work. Connect AI to what teams do every day.
Begin with roles, workflows, deliverables, and ownership—not a model catalog.
Four business entry points
Find the real task first, then combine products and governance.
Begin with roles, workflows, deliverables, and ownership—not a model catalog.
- 01
Growth & marketing
Connect customer insight, proposal preparation, brand content, and product data.
Suitable roles
- Sales teams
- Marketing teams
- Brand and commerce teams
Typical tasks
- Customer insight and meeting preparation
- Proposals and bid materials
- Brand content and campaign planning
- Product copy, artwork, and publishing data
Current friction
Source material, versions, content, and business systems are disconnected and require repeated manual transfer.
Target workflow
Collect inputs → generate and organize → human confirmation → publish and archive follow-up evidence.
Product combination
AoristWorker leads; AGMesh governs delivery; ELYGate manages models and quotas when needed.
Deliverables
- Reusable content and proposal flows
- Structured product or customer data
- Approval records and delivery packages
Suggested first pilotBring a recent proposal or product-publishing workflow, including source material, approval points, and the final publishing package.
How to judge the first phaseThe first phase should leave structured outputs, version history, and approval evidence. Pricing, customer commitments, and external publishing remain owner-approved.
- 02
Operations & office
Bring documents, spreadsheets, meetings, support, and task follow-up into one work entry.
Suitable roles
- Operations teams
- Office and administration
- Support and project coordination
Typical tasks
- Business and product data preparation
- Meeting notes and follow-up
- Reporting and knowledge retention
- Support and process coordination
Current friction
AI can generate output but does not connect to approval, entry, archiving, and continued follow-up.
Target workflow
Task intake → source access → agent execution → key confirmation → write-back and audit trail.
Product combination
AoristWorker connects tools and sources; AGMesh preserves tasks, versions, and verification evidence.
Deliverables
- Role-based workflows
- Document and reporting templates
- Task history and team knowledge
Suggested first pilotChoose one recurring role task and provide representative inputs, the current template, and the destination for write-back.
How to judge the first phaseTask history, output templates, write-back, and exception records must be reviewable. Sensitive data, external messages, and system writes remain permission-controlled.
- 03
Professional services
Support material-intensive legal, research, advisory, and commercial content work.
Suitable roles
- Lawyers and assistants
- Research and advisory teams
- Commercial content delivery teams
Typical tasks
- Material summaries and timelines
- Search, comparison, and analysis
- Reports and presentation production
- Evidence indexes and risk prompts
Current friction
Large and sensitive source sets require citations, versioning, permissions, and expert ownership.
Target workflow
File the material → retrieve and analyze → expert confirmation → produce reports → archive citations and permissions.
Product combination
AoristWorker carries the work; AGMesh preserves review evidence; ELYGate controls models and data boundaries.
Deliverables
- Structured source library
- Reviewable analysis process
- Delivery documents with explicit boundaries
Suggested first pilotPrepare a redacted source set, the current handling steps, and the professional deliverable you expect.
How to judge the first phaseSource index, citation trail, expert review, and versioned output must be complete. Professional judgment and sign-off remain with accountable people.
- 04
Engineering & delivery
Govern agent orchestration, code, testing, equipment, and delivery evidence.
Suitable roles
- Engineering teams
- AI engineering teams
- Industrial integration teams
Typical tasks
- Task decomposition and agent roles
- Code review, testing, and builds
- Equipment protocols and task control
- Model routing, quotas, and cost governance
Current friction
Tasks, verification, permissions, and ownership are scattered, making agent output hard to review and reuse.
Target workflow
Task contract → delegated execution → test and verify → review decision → evidence and operating review.
Product combination
AGMesh governs engineering; ELYGate manages model and compute; AoristWorker supports business collaboration.
Deliverables
- Traceable engineering tasks
- Test and review evidence
- Model or equipment integration rules
Suggested first pilotProvide one engineering task with project rules, verification commands, and a clear acceptance method.
How to judge the first phaseScope, tests, builds, review decisions, and change records must be traceable. Production deployment, secrets, and final acceptance remain owner-controlled.
The Aorist method
Models answer “can it generate?” The business loop answers “can it operate?”
Connect the workflow
Connect sources, models, tools, human review, and business systems.
Establish governance
Configure permissions, approvals, output standards, audit trails, and feedback.
Organizational collaboration
Five responsibilities turn a scenario into an operating workflow.
Business owner
Define the business problem and measure
A measurable business target
Frontline team
Provide real inputs and key confirmations
A workflow people can use
Technical team
Connect models, systems, permissions, and data
A stable operating foundation
Management
Set approval, audit, acceptance, and risk boundaries
A sustainable operating model
Project owner
Drive stages, launch, and review
Deliverable and reviewable results
Start with your real workflow.
Prepare your current workflow, core friction, and expected result so Aorist can assess the product combination and delivery path.