Leadership cadence
- Scheduled advisory sessions
- Priority and roadmap reviews
- Project checkpoints
- Vendor and proposal discussions
- Risk and escalation reviews
- Implementation planning discussions
FRACTIONAL AI ADVISOR
Fractional AI Advisor
Get independent guidance on AI priorities, tools, vendors and implementation without hiring a full-time AI executive.
FRACTIONAL AI LEADERSHIP
AI decisions need an owner before they become projects
Most businesses do not need a full-time AI executive. They do need someone who can help leadership decide what is worth doing, what can wait, what to buy, what to build and what should stop.
A Fractional AI Advisor gives your leadership team an independent senior resource for AI priorities, vendor decisions, project reviews, governance and investment decisions without adding a full-time role.
ADVISORY SCOPE
What your Fractional AI Advisor helps you decide
The scope is matched to the company's current priorities, active initiatives and decisions that need leadership attention.
AI roadmap and priorities
Identify the operating problems worth addressing, rank opportunities and decide what should happen now, later or not at all.
Build, buy, automate or wait
Compare existing software, workflow automation, custom development and process changes before committing budget.
Vendor and proposal review
Review product fit, pricing, implementation assumptions, integrations, data requirements, scope and long-term dependencies.
Project checkpoints
Review progress, scope changes, blockers, testing, adoption and acceptance criteria before additional budget or work is approved.
Governance and adoption
Define ownership, approved-use rules, human review, access requirements, training needs and escalation paths.
ROI and next-step decisions
Compare expected benefits with actual operating results and decide to continue, change, expand, pause or stop.
ADVISORY MODEL
How the advisory relationship works
The engagement runs as a repeating leadership cycle rather than a one-time strategy document.
01
ALIGN
Review business priorities, current systems, active projects, constraints, budgets and decision owners.
02
PRIORITIZE
Rank opportunities based on business value, effort, risk, data readiness, dependencies and time to impact.
03
DECIDE
Make clear decisions around scope, sequencing, build-versus-buy, vendors, investment and governance.
04
REVIEW
Review project health, adoption, cost and operating results, then update priorities based on what has changed.
REVIEW ALIGN
ENGAGEMENT OUTPUTS
Practical outputs leadership can use
The advisory relationship should produce clear decisions, documented priorities and next actions. The exact outputs depend on the engagement level and work currently in progress.
Working outputs
- Prioritized AI roadmap
- Decision and action log
- Vendor comparison when required
- Project recommendations
- Governance and adoption actions
- Executive progress summary
- Next-step recommendations
LEADERSHIP QUESTIONS
Better AI decisions start with better questions
Technology is rarely the first decision. The first decision is what business problem deserves attention and what response makes commercial sense.
- 01
Should this workflow use AI at all?
- 02
Should we buy software, automate the process or build something custom?
- 03
Is this vendor solving the actual operating problem?
- 04
Which initiative deserves budget first?
- 05
Where does human approval need to remain in the process?
- 06
Is this project producing enough value to continue?
BUSINESS VALUE
Advice should lead to measurable decisions
Before an initiative expands, leadership should know what result it is supposed to improve and how progress will be reviewed.
01
Financial
Budget, operating cost, projected return, software spend and avoided expenditure.
02
Operational
Cycle time, response time, manual work, throughput, rework and process delays.
03
Adoption
Actual usage, workflow adoption, training gaps and process adherence.
04
Delivery
Milestones, blockers, scope changes, dependencies and vendor performance.
The metrics should match the workflow being improved. Not every AI project should be measured the same way.
ADVISORY PLANS
Choose the level of leadership support you need
Each retainer has a defined advisory scope and access level based on the amount of leadership involvement required.
Advisor
Starting at
CAD 1,500/month
For leadership teams that need recurring guidance on AI priorities and decisions.
Typical scope
- Monthly leadership advisory session
- Roadmap and priority review
- Tool and vendor guidance
- Defined asynchronous advisory access
- Next-step recommendations
Advisor Plus
Starting at
CAD 2,500/month
For businesses with active AI projects, implementation decisions or vendor evaluations.
Typical scope
- Two advisory sessions per month
- Everything in Advisor
- Project checkpoint reviews
- Implementation planning
- Vendor and proposal review
- Roadmap updates
Fractional AI Lead
Starting at
CAD 4,000/month
For businesses managing several AI initiatives that need recurring senior leadership involvement.
Typical scope
- Higher-frequency leadership cadence
- AI initiative portfolio oversight
- Vendor coordination support
- Governance and adoption review
- Project escalation support
- Executive reporting and next-step planning
All retainers have a defined scope and access level. Implementation, custom development, specialist legal or regulatory advice, security testing and third-party costs are scoped separately.
INDEPENDENT ADVISORY
Independent advice, separated from delivery
Web Inventix AI is vendor-neutral. The recommendation can be to use an existing product, automate a workflow, improve the current process, build something custom, wait or stop.
The objective is the better business decision, not a larger technology project.
If Web Inventix AI is later asked to implement the recommendation, that work is scoped and priced separately from the advisory retainer.
- 01
Decision first
Start with the operating problem and business objective before discussing technology.
- 02
Vendor-neutral
Products and vendors are reviewed against your requirements rather than a preferred technology stack.
- 03
Separate delivery scope
Advisory work does not automatically create an implementation project. Delivery work requires its own scope, responsibilities and approval.
ENGAGEMENT FIT
When Fractional AI Advisory is the right fit
A good fit
- You have several AI opportunities but no senior owner.
- Leadership needs an independent view before committing budget.
- You already have projects or vendors and need oversight.
- Your team needs help prioritizing competing AI initiatives.
- You need recurring leadership input without a full-time executive hire.
- You want AI activity connected to business results.
What this service is not
- Unlimited technical support
- Managed IT services
- Day-to-day software development
- Full-time project management
- A substitute for specialist legal, privacy or security advice
- A promise that every proposed AI initiative should proceed
Frequently Asked Questions
How is this different from hiring an AI consultant for a project?
A project consultant normally works toward a defined deliverable or implementation. Fractional AI Advisory stays involved across decisions over time, including prioritization, vendor reviews, project checkpoints, governance, adoption and next-step decisions.
Do you manage developers?
The advisory scope can include reviews of technical plans, milestones, dependencies, risks and project progress. Day-to-day engineering management is separate unless it is specifically included in the engagement.
Do you recommend specific AI vendors?
Yes, when a vendor recommendation is appropriate. Products can be compared based on business fit, pricing, integrations, data requirements, implementation effort, scalability and long-term dependencies. Your leadership team makes the final purchasing decision.
Is there a minimum term?
Initial engagements are typically structured for 90 days, followed by a recurring monthly arrangement based on the level of advisory support required.
Can we start with an AI Business Efficiency Audit?
Yes. If the business has not yet identified its priorities, the AI Business Efficiency Audit can provide a practical starting point. The findings can then feed directly into the advisory roadmap.
Can the advisory scope include AI governance?
Yes. Advisory work can include AI policies, ownership, review processes, approved-use rules, vendor requirements, human oversight and governance decisions. Specialist legal or regulatory advice remains outside the advisory scope.
What happens during the first 30 days?
The first stage focuses on understanding business priorities, current AI activity, systems, vendors, active projects, decision owners and immediate concerns. From there, priorities and the ongoing advisory cadence are established.
Can Web Inventix AI implement the recommendations?
Yes. If implementation is needed, Web Inventix AI can separately scope workflow automation, integrations, software development, AI systems or other technical work. Advisory and implementation remain separate commercial scopes.
FRACTIONAL AI ADVISORY
Need senior AI guidance without adding a full-time executive?
Start with the decisions already in front of your business.
We can review what is currently being considered, what is already in progress and where independent leadership support would be useful.
Not sure which starting point fits? The first conversation can determine if ongoing advisory, an audit or a smaller project makes the most sense.