Illustrative project scopes
These examples show the kinds of projects Shore AI can scope with your team. They illustrate possible deliverables; your proposal defines the systems, responsibilities, acceptance criteria, and handoff for your business.
Service businesses
Requests arrive through forms, email, and phone notes. Staff have to check several places to see who needs a response.
A workflow that captures agreed request types, flags missing details, assigns an owner, and prepares follow-up for review.
One intake process, with agreed sources, routing rules, exception handling, and a staff owner.
Explore this serviceProfessional-service firms
Staff repeatedly check inboxes and spreadsheets to find which client documents are still missing.
A checklist showing requested, received, missing, and ready-for-review items, with reminder drafts for staff to approve.
One document collection process. Confidentiality, professional judgment, and final client communications stay with the firm.
Explore this serviceOperations teams
The information exists across systems, but the team rebuilds a report or copies the same fields by hand.
A focused tool or connection between approved systems, showing agreed fields and a useful view of status or open work.
Named systems, defined data access, acceptance criteria, and documentation for the person who will maintain it.
Explore this serviceOwners and team managers
A few people experiment with AI, while colleagues lack examples and a shared way to check the results.
Configuration in approved tools, practical sessions for selected tasks, reusable instructions, and a review checklist.
One team, selected tasks, a defined set of sessions, an internal owner, and an agreed adoption review.
Explore this serviceProduct and engineering teams
A valuable backlog item needs more engineering capacity to get through implementation and verification.
Working code in the existing repository, appropriate tests, QA notes, and the context reviewers need to assess the change.
One workstream with agreed acceptance criteria, access, review ownership, and release responsibilities.
Explore this serviceEngineering leads
The team wants a practical way to evaluate coding agents within its own repository and quality standards.
A scoped implementation with an inspectable workflow, review notes, and reusable instructions for the team.
A selected task and agreed handoff. Further implementation or team training is scoped as another phase.
Explore this serviceKnow what will be delivered, who will approve it, and how your team will run it once the work is complete.
Define the outcome, deliverables, systems involved, project owner, acceptance criteria, timing, and price before implementation begins.
Agree what AI can prepare and where a person approves the result. Use approved tools and access; professional judgment and final decisions stay with your team.
Receive documentation and a walkthrough. The agreement defines the review and support period for the delivered work. Further improvements are quoted separately.
Engagements cover the agreed implementation or training project. Day-to-day IT administration, device troubleshooting, general helpdesk service, and open-ended support are outside that scope.
Choose the closest project type. Share the outcome, current tools, who will own the project, and any timing or budget constraints. Shore AI will review the fit and suggest the next scoping step.
No sensitive records needed. Share the repeated job, tools involved, and where things get stuck.
