Get a Second Opinion Before You Commit Budget
Independent AI advisory for teams evaluating vendors, tools, or an in-house build.
AI consulting is an independent evaluation of a specific AI vendor, tool, or proposed build - assessing what's technically real, what's overstated, and whether it actually fits your existing systems - before you commit budget to it.
What is AI Consulting?
AI consulting is an independent evaluation of a specific AI vendor, tool, or proposed build - checking what's technically real, what's overstated, and whether it actually fits your existing systems, before you commit budget to it.
Skipping it is expensive in a specific way: a demo built to impress in thirty minutes and a tool that holds up against your real data at your real volume are frequently two different things, and the gap doesn't show up until after a contract is signed and integration costs start compounding.
It's narrower than AI strategy, which decides which use cases are worth pursuing in the first place. Consulting starts once a specific vendor, tool, or build decision is already in motion and needs an independent second opinion.
Common problems we solve
Vendor claims taken at face value
Demos and case studies look convincing, but nobody has checked them against your actual data and systems.
Build-vs-buy decided on a pitch deck
An in-house build gets approved on an optimistic internal proposal nobody outside the team has challenged.
Cost estimates that stop at licensing
Integration and maintenance costs get underestimated until they show up after signing.
An underperforming tool with no clear reason why
A live AI tool isn't performing as promised, and nobody has assessed whether the tool or the rollout is at fault.
No independent read before signing
Two vendors are shortlisted and the decision is being made on their own comparison materials.
Everything covered in this service
Vendor & Tool Evaluation
Vendor claims assessed independently against your actual requirements, not their own comparison criteria.
Technical Feasibility Assessment
A realistic check of whether a proposed build fits your existing data and systems.
Cost & ROI Modelling
Total cost of ownership across licensing, integration, and maintenance - not a vendor-supplied projection.
Integration Feasibility Review
Fit with existing systems and data pipelines checked, with dependencies flagged before commitment.
Our optimization framework
Scope the Decision
We confirm exactly what decision is being made - a vendor choice, a build-vs-buy call, an integration risk check - so the engagement stays focused.
Review Requirements
We map your actual requirements and constraints before looking at any vendor materials, so the evaluation isn't anchored to how a vendor frames the comparison.
Evaluate Independently
Vendors, tools, or proposed builds are assessed against your requirements, not against their own marketing claims.
Model Cost & Feasibility
Total cost of ownership and technical feasibility get modelled realistically, including integration and maintenance costs vendors tend to understate.
Recommend
You get a clear written recommendation with the reasoning made explicit, so the decision can be defended internally.
What actually changes
| Before | After |
|---|---|
| Vendor claims taken at face value | Vendor claims checked against your actual requirements |
| Cost estimate covers licensing only | Cost model includes integration and maintenance |
| Build-vs-buy decided on a pitch deck | Feasibility checked against your real data and systems |
| No documented reasoning behind the choice | A written recommendation with the reasoning made explicit |
What we report on
Decision turnaround time
Tracked from shortlist to a documented recommendation you can act on.
Cost model accuracy
Checked against actual licensing, integration, and maintenance costs once implementation begins.
Feasibility outcomes
Whether a build or integration we assessed as feasible performs as expected once it ships.
Tools & platforms
Industries we optimize for
Built for teams like yours
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
We have no vendor partnerships or referral incentives that would bias a recommendation, and we say plainly when a proposed build looks unrealistic given the data or systems available.
How AI Consulting connects with AI search
AI Consulting ├── AI Strategy ├── Custom AI Agents └── AI-Powered Applications
AI Strategy
Decides which AI use cases are worth pursuing before consulting evaluates a specific vendor or build decision already in motion.
Custom AI Agents
Often the build option a feasibility review is weighing against an off-the-shelf or vendor alternative.
AI-Powered Applications
A common subject of the technical feasibility and cost modelling this service provides before a build is approved.
Related AI Solutions services
Find Where AI Actually Pays Off, Before You Build Anything
AI strategy that pinpoints the highest-value use cases for your business before recommending a single tool.
AI SolutionsGenerative AI applied to a specific, measurable outcome
Generative AI implementation for content, code, or creative workflows, scoped to a specific business outcome.
AI That Does Real Work Inside Your Product, Not Beside It
AI application development where the model is core to the product, not a chatbot bolted onto the side.
How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
No. We have no vendor partnerships or referral arrangements that would bias a recommendation - the evaluation is paid for by you, and the reasoning reflects that.
Either. Most consulting engagements start with a shortlist you've already built - we evaluate it independently rather than starting the search over.
A single vendor or feasibility evaluation typically takes one to two weeks. Ongoing advisory retainers run longer and scope in additional questions as they come up.
No - a sound recommendation based on today's information can still run into problems during implementation that no evaluation could have predicted. What we guarantee is a rigorous, independent assessment against your actual requirements, which meaningfully lowers the odds of a costly mismatch.
We tell you that directly, along with what would need to be true for a recommendation to change. Recommending you wait or keep looking costs us a shorter engagement, but recommending a weak option costs you a bad decision.
No - strategy identifies which use cases are worth pursuing in the first place. Consulting is narrower: a specific vendor, tool, or build decision that's already in motion and needs an independent second opinion.
About to sign a contract with an AI vendor?
Get an independent read on whether the claims hold up before you commit budget.
Ready to get started?
We usually reply within 24 hours.
AI Consulting, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Vendor Assessment | Written evaluation of shortlisted vendors or tools against your actual requirements |
| Feasibility Review | Technical assessment of whether a proposed build or integration is realistic |
| Cost Modelling | Total cost of ownership comparison across the options under consideration |
| Recommendation | A clear, documented recommendation with the reasoning behind it |
How this compares
| Independent AI Consulting | Vendor-Led Evaluation |
|---|---|
| Assessment is measured against your requirements | Assessment is framed by the vendor's own comparison criteria |
| Cost modelling includes integration and maintenance | Cost quoted is often licensing only |
| No stake in which vendor you choose | Vendor has an obvious stake in the outcome |