Define the workflow, evidence, controls, and acceptance conditions before the AI build.
Aimspace helps AI implementation firms gather and analyze stakeholder requirements across business workflows, data, human review, risk, security, exceptions, integrations, and success measures.
Definition
AI requirements gathering is more than asking what tool the client wants.
For AI implementation partners moving from opportunity to a buildable client scope.
The service fits when a client wants an AI-enabled workflow, assistant, automation, internal tool, data use case, or process redesign, but the implementation team does not yet have enough stakeholder evidence to price or build safely.
What it solves
Requirements work that is structured, traceable, and ready for the client approval process.
01
Business and workflow requirements
Define the business need, target outcome, current process, future process, roles, decisions, rules, exceptions, and measures of success.
02
Data and control requirements
Identify data sources, definitions, quality expectations, access boundaries, retention needs, human review points, audit needs, and risk controls.
03
Delivery and acceptance requirements
Create functional, non-functional, integration, transition, and acceptance requirements with traceability and visible open decisions.
Process
Turn one AI opportunity into a defined implementation baseline.
01
Frame the AI use case
Confirm the client outcome, workflow boundary, affected roles, sponsor, and what the AI system is and is not expected to do.
02
Interview the stakeholders
Collect structured evidence from users, managers, process owners, data owners, technical leads, security roles, and approvers as relevant.
03
Build the requirements baseline
Reconcile conflicting accounts and produce linked requirements, data terms, risks, decisions, acceptance checks, and approval-ready records.
04
Hand off to implementation
The partner validates the package, takes it through client approval, and uses it to scope, estimate, architect, configure, build, and test.
Questions
Clear answers before you use the service.
Is this AI strategy consulting?
No. The Sprint is a bounded requirements discovery engagement for a real implementation initiative or workstream. It defines what the implementation must enable and the conditions it must satisfy.
Does Aimspace choose the AI solution?
No. The partner owns architecture, product selection, configuration, integration, and implementation decisions.
Can the Sprint cover an enterprise-wide AI transformation?
Only at a broad baseline level. Detailed requirements for multiple departments, systems, workflows, or downstream projects require separate workstreams or Sprints.
What information should stakeholders avoid sharing?
Do not submit production credentials, classified information, protected health records, payment-card data, government identifiers, production customer datasets, or other highly sensitive or specially regulated information without separate written controls.
Start with one implementation initiative.
Submit the short project-fit form, or book a partner call when you want to confirm the scope first.