AI resolves what it safely can.
Grounded knowledge, identity, approved tools and explicit flow rules.
AI-first contact centre · process orchestration · data intelligence
From every interaction to the right action.
retink.ai unifies voice, text, digital channels, AI agents, human teams, data and business systems—so work reaches a real outcome without losing context.
Voice Web Chat + SDK SMS + WhatsApp Flow Builder Human desk APIs + integrations
The operating thesis
The conversation is only the beginning.
retink.ai carries identity, evidence and process state through to the system update, human decision and measurable result.
Interactionvoice · text · digital
Processroute · verify · wait
AIunderstand · retrieve · act
Humanjudge · approve · assist
Systemsupdate · create · notify
Outcomemeasure · learn · improve
AI and human work, one process
Hand over the work—not just the words.
When judgement matters, the Human Agent Desk receives intent, summary, customer context, evidence, actions attempted and the live workflow state. The process continues after the person finishes.
A person enters fully briefed.
Conversation history and process context travel with the handover.
The process completes the follow-up.
Update systems, notify, create work and record the outcome.
retink.ai platform
Contact centre, orchestration and intelligence as one system.
Low-code where speed matters. Full custom code, SDKs, APIs, MCP, WebMCP and plugins where differentiation matters.
01Voice · text · digital · human
AI Contact Centre
Run voice, Web Chat, SMS and WhatsApp through one conversation record and process. Additional channels and integrations are delivered around your requirements.
Explore ↗02Low-code · pro-code · durable executionProcess Orchestration
Design, publish and operate processes that coordinate channels, AI agents, people, approvals, data and external systems. Visual where it is faster; custom code where it matters.
Explore ↗03Ingest · understand · analyse · actData Intelligence
Bring files, documents, databases, conversations, events, vector search and data graphs into one evidence-led operating loop—then let flows, agents and people act on what the data says.
Explore ↗Measure the work
Your baseline. Your process. Your evidence.
Agree what success means before building. Then compare the released process against its starting point, including quality, exceptions and operating cost.
Baseline the journey
Record demand, handling effort, repeat contact and the time needed to complete the work.
Set acceptance criteria
Define the result, human controls and failure-recovery checks for one bounded process.
Measure the release
Review completion, quality and total cost at real volumes before expanding the scope.
Industry operating patterns
Same platform. Different processes, evidence and control boundaries.
We start with the journey and constraints of the industry, then configure and extend the platform around them.
Platform plus engineering partner
The final mile is where the value usually lives.
retink.ai combines its platform with the data, integration, product and AI engineering needed to make it fit the real operating environment.
Discover the real process
Map demand, failure points, data, controls, handoffs and the outcome worth changing.
Build the complete system
Product configuration, AI, custom applications, integrations, data pipelines, APIs, MCP and user experience.
Prove it under real conditions
Evaluation, simulation, security review, operational readiness and measurable baseline-to-outcome evidence.
Operate and improve
Release support, quality monitoring, workflow changes, agent tuning and a continuing data-to-action loop.
Open integration surface
Bring the estate you already operate.
Connect your existing systems through APIs, SDKs and webhooks. CRM connectors, MCP, WebMCP and custom plugins are scoped around the systems and actions your process needs.
Built-in tickets + contactsAzure Communication ServicesVonageMicrosoft TeamsWhatsAppServiceNowCRM + service desksPostgreSQLVector databasesREST + OpenAPIMCP + WebMCPWeb Chat SDKCustom systems
Trust and deployment
Enterprise control without hiding the operating model.
Deployment and support boundaries are agreed for the environment; the platform provides the identity, isolation, audit and deployment architecture underneath.
Identity and tenant control
Microsoft Entra workforce SSO, organisations, tenant-aware access and scoped roles.
Action-level audit
Conversation, process, data, tool and privileged actions retain actor and outcome context.
Deployment choice
Managed cloud on Azure, with dedicated and private requirements scoped as engineering engagements.
Data and model control
Tenant-aware access, protected secrets and source references, with model and data requirements agreed for each deployment.
Data to action. Interaction to outcome.