AI Consulting
Improve one workflow, then decide what earns a larger investment.
Websage helps growing teams decide where AI fits, where it creates avoidable risk, and what a practical first implementation should look like.
Book a free 15-minute AI fit callConsulting is scoped to the workflow, data, risk, and implementation effort. No public consulting price list.
What the work covers
One workflow, four connected decisions.
The scope follows the workflow. A recommendation may lead to a pilot, a process change, or a decision to leave the work alone.
Opportunity and workflow assessment
Map one or more workflows in enough detail to see where time, judgment, information, and handoffs create friction before a tool enters the conversation.
- Current-state workflow and owner
- Inputs, decisions, exceptions, and handoffs
- Use-case ranking based on value, feasibility, and risk
- Data access and privacy questions
- Recommendation for a pilot, process fix, or no AI work
Focused pilot and implementation
A pilot should answer a business question. Websage defines the users, workflow boundary, expected behavior, and evidence needed to decide what happens next.
- Smallest useful pilot scope
- Tool or vendor selection for the use case
- Prototype, configuration, or custom build as needed
- Human review points and fallback behavior
- Test cases, success criteria, and stop conditions
- Implementation plan and documented handoff
Training and adoption
People learn the workflow they will use, with examples, controls, and a clear path when the system is uncertain or wrong.
- Role-specific training tied to the pilot
- Examples of expected and weak outputs
- Review, exception, and escalation guidance
- Operating notes for future changes
Governance, vendor, and tool evaluation
Governance is handled at the level the workflow requires. The review focuses on practical controls rather than unsupported compliance claims.
- Data handling and vendor exposure
- Access, retention, and ownership questions
- Human oversight and escalation
- Tool fit, limitations, and switching cost
- Monitoring and review responsibility
Diagnostic entry route
Start with a manual AI Visibility Audit.
For businesses focused on how they appear in consumer AI research, Websage checks 25 frozen buyer questions across ChatGPT and Claude. The report separates each product, verifies cited sources, records factual issues, and provides a prioritized fix list.
Fit boundaries
A clear no can prevent an expensive pilot.
Websage will recommend against AI when the workflow, information, or downside makes a useful test difficult to justify.
Stronger first-pilot signals
- A repeated workflow has a clear owner
- Usable inputs and examples already exist
- A person can review the result
- The team can define a useful measure
- A limited test will not disrupt critical work
Reasons to pause or redesign
- High-consequence decisions depend on nuance
- The process changes every time
- Sensitive information has no safe handling path
- No one owns the output or exceptions
- The cost of an incorrect answer is difficult to contain
Engagement process
Each stage has a decision gate.
The next scope is confirmed only after the current stage produces enough information to make a responsible decision.
Free fit call
Use 15 minutes to describe the problem, current workflow, people involved, and the decision you need to make. Price: free.
Scoped assessment
Confirm the workflow, deliverables, access needed, decision criteria, and scope-based price before work starts.
Pilot decision
Review the assessment and decide whether to build, change the process first, or stop without an implementation.
Build and adoption
Implement the approved pilot, test it with the people using it, document the controls, and hand over the operating workflow.
Free 15-minute AI fit call
Leave with a clearer next step.
We will discuss the workflow and decide whether it calls for an assessment, a small pilot, a process change, or no project.