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Production voice AI for customer operations

Automate the routine.
Escalate the hard parts well.

AutoLeap AI helps contact-centre and operations teams deploy voice AI around one measurable customer journey at a time, with guardrails, human handoff, Microsoft automation and operational telemetry built in.

Assess one high-volume call journey See how pilots work
1 journeyStart narrow
Human fallbackDesigned up front
MeasuredAgainst your baseline
CONTROLLED PILOT MODEL
01
Customer intentOne approved call reason
IN SCOPE
02
Voice AIAnswer + action
03
GuardrailsPolicy + confidence
04
Human escalationContext transfers with the customer
SAFE PATH
Containment measuredFailure rate trackedHandoff tested
BUILT AROUND YOUR EXISTING STACK
Microsoft 365Power PlatformDataverseREST APIsContact-centre telephony
What we deliver

From demo to a defensible operating model.

AI is easy to demonstrate. Production is where escalation, data, security, observability and failure paths become the product.

01

Voice AI ROI Assessment

Baseline one repetitive call type before building anything expensive.

  • Call-volume + AHT baseline
  • Automation boundaries
  • Risk + integration map
  • Pilot business case
CORE OFFER
02

Controlled Voice AI Pilot

Launch one measurable journey with human fallback and explicit success thresholds. Fixed price, agreed before work starts.

  • Conversation + guardrail design
  • Power Automate / API actions
  • Handoff + after-hours logic
  • Testing + weekly reporting
03

Managed Optimisation

Keep the journey reliable as traffic, knowledge and customer behaviour change.

  • Regression testing
  • Prompt / flow optimisation
  • Failure-path analysis
  • Operational dashboards
Pilot method

Prove value before you scale.

We start with your existing numbers, not a generic AI ROI slide.

01

Baseline

Volume, AHT, transfers, repeat contacts, failure cost and existing customer experience.

02

Bound the journey

Define what the agent may answer, what it may do, and exactly when it must escalate.

03

Build + test

Integrations, prompts, edge cases, adversarial tests, silence handling, transfers and after-hours behaviour.

04

Controlled launch

Cap exposure, monitor real conversations and resolve high-severity failure patterns quickly.

05

Scale / stop decision

Compare measured results to the baseline. Expand only where the evidence supports it.

Best fit

A good first journey is boring, frequent and expensive.

High volumeEnough interactions for economics and testing to matter.
Rules-basedClear answer or action boundaries exist.
RepeatableThe same intent creates avoidable agent workload.
EscalatableA human can safely take over when context gets complex.
Microsoft automation

Voice is the front door. Your systems still do the work.

AutoLeap can connect approved voice journeys to Microsoft 365, Power Automate, Dataverse and enterprise APIs, so the agent can retrieve, route and trigger controlled actions instead of just talking.

VOICEConversation + speech
ORCHESTRATIONGuardrails + routing + actions
MICROSOFTPower Automate + Dataverse + M365
OPERATIONSHuman teams + reporting + QA
Who you'll work with

Built by someone who has run voice AI in production.

Sebe Msomi Founder and Solution Architect

Designs and deploys voice AI in live contact-centre environments, including escalation rules, guardrails and the tuning that keeps them reliable. Microsoft-certified Power Platform Solution Architect, based in the Western Cape.

Connect on LinkedIn
  • PL-600Microsoft Certified: Power Platform Solution Architect Expert
  • PL-400Microsoft Certified: Power Platform Developer Associate
  • PL-900Microsoft Certified: Power Platform Fundamentals
  • BPMPostgraduate studies in Business Process Management
Start with one journey

Which call reason is costing your operation the most?

Bring the approximate monthly volume, average handling time and current escalation pain. We’ll tell you whether a controlled voice AI pilot is worth testing.

sebe@autoleapai.co.za