Customer support
Contact centres where AI agents resolve requests, and people handle what matters most.
Why support queues keep growing
Customers expect answers at any hour, in their language, on any channel. Contact centres grow with every new product, and simple requests still wait behind complex ones.
Rising volumes
Every new product and channel adds to the queue.
Answers at any hour
Customers expect help outside office hours, in their own language.
Agents without access
Front-line staff switch between systems to complete one request.
What changes
Requests resolved, not deflected
Voice and chat agents that complete requests through your systems.
Clean handover to people
Complex or sensitive cases reach a person with the full context.
Insight from every conversation
Sentiment and topics measured across channels.
What we deliver
Speech-reasoning voice agents
Native speech reasoning voice agents, automated AI receptionists and AI contact centres.
Transactional conversational AI
Omnichannel customer agents that execute requests through your APIs, not just answer questions.
Human-on-the-loop supervision
Multi-agent workflows that people supervise, with guardrails, evaluations and token cost control.
Service platforms
ServiceNow, Salesforce and Microsoft Power Platform implemented and connected.
Conversation analysis
NLP, sentiment and deep semantic analysis of every interaction.
How we work
Find the common requests
The requests that take the most time and need the fewest judgements.
Connect the agent
The agent gets safe, logged access to the systems it needs.
Supervise and extend
People supervise the agent, and it takes on more requests as it proves itself.
Technologies and standards
The protocols, models and service platforms an AI contact centre runs on, as the documents behind this page name them.
- AI and machine learning
- Agent2Agent (A2A)
- Model Context Protocol (MCP)
- CRM and workflow platforms
- Microsoft Power Platform
- Salesforce
- ServiceNow
How to start
What happens next
Agreeing a time
Our team emails you to agree a time for the session.
Pre-consulting session
A free 30-minute online pre-consulting session: we go through your goals, systems and constraints.
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Choosing the track
Scope-ready projects receive a binding proposal within 3–5 business days. Concept-stage projects start in the Blueprint Studio. A live system that is failing, undocumented or needs integration starts with a diagnostic of 1–2 weeks. The Blueprint Studio and the diagnostic each have a fixed fee, quoted in the proposal.
AI-native product teams
Managed, cross-functional pods of senior engineers, equipped with agentic coding and QA harnesses.
Fixed-outcome projects and round-the-clock managed services
Fixed-scope, milestone-driven delivery with named delivery leads, and round-the-clock application managed services under SLA governance.
Questions and answers
When does the AI hand over to a person?
When a request is outside its rules, when the customer asks, or when sentiment or risk says it should. The person sees the whole conversation and what the agent has done.
How do you stop an AI agent doing something it should not?
Each agent has its own identity and just-in-time credentials, tools are behind prompt-injection and tool-poisoning guardrails, and every action is logged.
Do the voice agents speak Arabic?
Yes, with Arabic-first and regional dialect models, hosted privately where customer data must stay in the country.
Where should we start?
With one high-volume request type, such as a status check, automated end to end and measured.
Start with a conversation, not a contract.
Tell us what you need to build, connect or secure. An architect goes through it with you, then recommends where to start.