7 Questions for AI Solution Providers

Written by:  

Beth

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Buying AI in 2026 is not just a technology choice. IT, HR, and Operations teams need tools that actually work with their workflows, protect company data, and improve employee productivity. Many vendors look impressive in demos, but real-world implementation often exposes gaps in integration, governance, and usability.

Choosing the right AI partner is challenging because the wrong solution can slow work, create confusion, and frustrate employees. These seven questions help leaders separate providers that deliver practical results from those that create more complexity.

TL;DR

  • Security First: Enterprise AI must isolate your proprietary data from public training models.
  • Implementation Speed: Prioritize AI solutions with a 4–6 week Time-to-Value (TTV).
  • Holistic Success: ROI includes employee satisfaction, productivity, and accuracy, not just cost savings.

Why Mid-Market Companies Need Specialized AI Solutions

Mid-market organizations rarely have the large IT budgets, internal data science teams, or engineering support required for custom enterprise AI. Specialized AI platforms solve this by offering:

  • Pre-configured workflows
  • Pre-built connectors
  • Verified knowledge libraries
  • Governance frameworks
  • Rapid deployment timelines

This gives mid-market teams the same automation power as global enterprises, without the cost, complexity, or long implementation cycles.

7 Questions to Ask AI Solution Providers in 2026

1. How do you protect our proprietary data from public model training?

This is the most important question in 2026.

Enterprise AI must offer:

  • Strict data isolation
  • Zero-retention policies
  • SOC 2 compliance
  • Access governance
  • Audit logs and transparency

If a provider can’t explain how they prevent your data from entering public models, they aren’t an enterprise-ready partner.

2. What is your Time-to-Value, and can you prove it?

The era of 6–12 month AI rollouts is over.

Look for:

  • Pre-built use cases
  • Pre-defined workflows
  • Existing integrations
  • Fast onboarding
  • Demonstrated 4–6 week Time-to-Value

If a vendor hesitates to commit, the product likely requires heavy custom engineering.

3. Can your AI integrate deeply with our existing tech stack?

An AI solution is only as strong as its integrations.

Ask how it connects to:

  • Workday (HR transactions)
  • ServiceNow / Jira (tickets)
  • SharePoint / Google Drive (knowledge repositories)
  • Okta / Azure AD (identity & access)
  • Slack / Teams (employee experience)

If the connections aren’t native, you’ll end up paying for custom development.

4. How do you handle content governance and version control?

AI accuracy depends on clean, trusted content.

Evaluate whether the solution:

  • Syncs to authoritative sources
  • Detects outdated or conflicting information
  • Tracks content owners and approvals
  • Ensures version control
  • Provides visibility into what the AI uses as truth

Governance is not optional, it’s what keeps AI trustworthy.

5. Does your AI require manual tagging, prompt engineering, or keyword training?

If a vendor requires:

  • Manual tagging
  • Metadata mapping
  • Custom prompt libraries
  • Keyword-based classifiers

…their solution won’t scale.

Modern enterprise AI should handle:

  • Semantic understanding
  • Automatic categorization
  • Real-time ingestion
  • Dynamic retrieval

If “manual tagging” enters the conversation, walk away.  

6. What does success look like after the first 90 days?

A credible AI partner should articulate measurable outcomes such as:

  • Fewer HR/IT Tier-1 questions
  • Lower ticket volume
  • Faster employee response times
  • Improved DEX scores
  • Higher usage and trust
  • Verified accuracy across sources

If they cannot describe the first 90 days, they are not focused on results.

7. How do you measure ROI beyond cost savings?

True AI value is multi-dimensional.

Ask how they measure:

  • Employee satisfaction
  • Productivity improvements
  • Search effectiveness
  • Reduction in workflow friction
  • Time saved across HR, IT, and Ops
  • Accuracy and reliability

If the vendor only talks about “hours saved,” they’re underselling AI’s impact.

FAQ

Q: Is SharePoint obsolete?

A: No, SharePoint is a fantastic storage layer. But storage alone is not a knowledge strategy. You need an AI “brain” on top to interpret content, retrieve answers, and keep knowledge relevant.

Q: How does AI ingest document changes?

A: Modern enterprise AI syncs with source content in real-time. As documents change or policies update, the AI reindexes and updates its answer set to maintain high accuracy and consistent responses.

AI is no longer a “nice to have”; it’s the backbone of modern digital operations. However, choosing the wrong AI partner can introduce more risk, additional work, and inefficiency than it solves. These seven questions help you cut through buzz and identify vendors who prioritize security, governance, deep integration, and rapid value.

The right AI partner doesn’t just deploy technology; they accelerate transformation across HR, IT, and the entire employee experience.

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