Connect with the right permissions.
Define the data, accounts and actions each workflow needs.
AI CONSULTING & ENGINEERING
Build AI
into your
operations.
We design, integrate and operate voice agents, business workflows and decision-support systems—with evaluation and monitoring built in.
Explore our services ↗01 / WHAT WE DO
From business need
to production AI.
We connect AI to the data, business rules and applications your teams use. Each system is built around a defined task, from handling a call to processing a request or investigating a failure.
Our work covers workflow design, implementation and production operation. We define where automation can act, where people must review, and how performance will be evaluated.
02 / SERVICES & PRODUCT EXAMPLES
Our services.
Select a service to see how it works
through an interactive example.
Try the ordering workflowGuided text demo ↗
Choose an ordering exampleUse suggested replies or supported text commands.
Build a sample order.
Ordering agent · guided text demoBUILD YOUR BASKET
Try a suggested reply or a simple cart command.
Changes in the conversation appear in your cart.Sample catalog · INR · no live availability
ILLUSTRATIVE PREVIEW
Interact with the product example
SYSTEM INTEGRATION
Connect the systems.
Complete the workflow.
We connect your data, business applications and legacy tools so AI can retrieve context, carry out approved actions and return results to the right system.
THE WORKFLOW
Load account context, make the call, record the outcome and pass exceptions to the collections team.
Control what AI can change.
Set validation rules, approval steps and exceptions before writeback.
Keep a record of the work.
Link requests, system actions and outcomes for investigation and review.
Connection methods and permissions are scoped to your environment: APIs, data connectors or robotic process automation.
03 / HOW WE DELIVER
A working system.
A clear path
to production.
Each stage produces something your team can inspect, test and use to decide what happens next.
BUILT WITH YOUR OPERATIONS TEAM
Plan your engagement ↗Real workflows define the scope. Edge cases shape the tests. Production feedback guides the next change.
01SCOPE & SUCCESS CRITERIADefine the workflow and its limits.
Agree what AI should handle, what people retain and how success will be measured.
Define the workflow and its limits.
Agree what AI should handle, what people retain and how success will be measured.
WHAT YOU RECEIVE
- Workflow and exception map
- Data, access and integration requirements
- Acceptance criteria and a scoped pilot
COLLECTIONS EXAMPLE
Separate unanswered calls, disconnects and promise dates from cases that need a human agent.
DECISION TO PROCEED
The workflow, system access and human responsibilities are agreed.
02PROTOTYPE & EVALUATIONProve the critical workflow.
Test the behaviour that matters before extending the implementation.
Prove the critical workflow.
Test the behaviour that matters before extending the implementation.
WHAT YOU RECEIVE
- A working prototype of the core workflow
- Representative scenarios and an evaluation rubric
- Failure findings and prioritised changes
VOICE ORDERING EXAMPLE
Use simulated conversations and an LLM judge to inspect ordering failures and distinguish agent errors from test or judge issues.
DECISION TO PROCEED
Results meet the agreed pilot criteria; remaining gaps are documented.
03INTEGRATION & RELEASE READINESSValidate the complete process.
Connect the surrounding systems and test actions, exceptions and handoffs together.
Validate the complete process.
Connect the surrounding systems and test actions, exceptions and handoffs together.
WHAT YOU RECEIVE
- Connected workflows and validation checks
- End-to-end test evidence and exception handling
- A release plan with operational owners
LEGACY AUTOMATION EXAMPLE
Compare a saved invoice with the source before completing the work item. Hold mismatches for a person to review.
DECISION TO PROCEED
The team can verify outcomes, handle failures and approve the release.
04MONITORING & IMPROVEMENTMake production feedback actionable.
Connect service health and task quality to a repeatable review process.
Make production feedback actionable.
Connect service health and task quality to a repeatable review process.
WHAT YOU RECEIVE
- Monitoring for system health and task outcomes
- An annotation or simulation feedback workflow
- Regression checks for candidate changes
VOICEBOT RELIABILITY EXAMPLE
Review end-of-turn timing, TTFT and TTFB alongside call evidence. Annotate failures, evaluate changes and compare results before release.
ONGOING REVIEW
Each proposed improvement has evidence, an owner and a validation step.
Start with a focused pilot or a defined stage. Deliverables and ongoing support are agreed for each engagement.
WORK WITH US
Let’s improve how
your business works.
Automate a manual process, improve customer service, or make an existing AI system more reliable. Tell us what needs to change—we’ll help define the next step.