Artificial Intelligence
Put AI to work where it actually pays off.
AI is being added to nearly every technology product. We help you separate useful applications from noise, assess whether your data and processes are ready, and evaluate supplier-supported AI capabilities against specific business goals.
What to evaluate
Artificial Intelligence, in practical terms.
- AI readiness assessments
- Contact center and customer service automation
- Workflow and process improvement
- Supplier-supported AI capabilities
- Data and security considerations
The right fit
Who should consider it?
- Businesses with repetitive, high-volume tasks
- Customer service teams
- Leaders asked to 'do something with AI' without a clear starting point
Business objectives
What a well-scoped solution can support.
- A prioritized list of practical use cases
- Clear data and security guardrails
- Measurable pilots before large commitments
These are evaluation objectives, not promised results. Scope and performance depend on supplier agreements and implementation.
Compare before committing
Alternatives & tradeoffs
| Approach | Often best for | What to consider |
|---|---|---|
| AI inside existing platforms | Quick wins in tools you own | Limited to that vendor's capabilities |
| Dedicated AI solutions | Specific high-value use cases | Integration and governance work |
Buying checklist
Questions worth asking.
- 01What specific task or metric should AI improve?
- 02Where does the data live and who can access it?
- 03How will results be measured during a pilot?
- 04What human review remains in place?
Clear answers
Frequently asked questions
Where should a business start with AI?
Start with one or two well-defined processes that are repetitive, measurable and low-risk, such as call summaries, routing or answering routine questions. Confirm data access and security policies before expanding.
Practical buying guides
Explore the decision in depth.
Connected decisions
Related technology solutions
Unified Communications
Cloud phone systems, UCaaS, Teams calling and business messaging.
Contact Center & Customer Experience
CCaaS, call routing, workforce management and AI-assisted service.
Cybersecurity
Managed security, MDR/XDR, endpoint, firewall, identity and risk assessments.
Technology guidance by Duncan Smith · Supplier-specific capabilities must be confirmed during evaluation.
Your next move
Explore AI readiness
Tell us what’s changing. We’ll help you evaluate what comes next.