
Customer Operations
Enquiries, service and support handled by AI across every channel, with human oversight where it matters and full handoff to your teams.
Enterprise AI Transformation & Automation
We design, deploy and operate AI-powered enterprise systems that transform customer operations, revenue operations and complex internal business processes — integrated with your existing CRM, ERP and digital infrastructure.
Enterprise AI works when it is applied to a defined operation, integrated with the systems around it and operated after go-live.

Enquiries, service and support handled by AI across every channel, with human oversight where it matters and full handoff to your teams.

Lead response, qualification, follow-up and CRM hygiene run as an automated system instead of manual effort.

Documents, approvals, reporting and internal workflows automated end to end across the systems you already run.
Channels, AI modules, orchestration, human oversight, enterprise integrations and governance operate as a single architecture — deployed into your environment, not around it.
Architecture layers are configured per deployment; not every layer is required in every project.
Each module runs inside the same orchestration, integration and governance layer.
Responds, qualifies and follows up across messaging channels, writing every interaction back to the CRM.
Handles recurring service requests from approved knowledge, escalating to human agents on defined conditions.
Handles inbound and outbound voice interactions within the same orchestration and integration layer.
Availability and deployment architecture depend on provider, market and project requirements.
Reads, extracts and routes documents into the workflows and systems that consume them.
Grounds every AI response in approved organisational content instead of open-ended generation.
API orchestration, workflow routing, business rules, human approvals, CRM and ERP integration and exception handling — the layer that makes the modules operate as one system.
From tailored revenue operations to self-serve content production, our products turn applied AI into practical, repeatable work.

ALTINKEY AI Sales Agent
A sales agent built around your products, customers, sales process and brand voice. It responds, qualifies, follows up, handles objections, books meetings and writes interactions to your CRM — escalating decisions to your team when human judgement is required.
For companies that need faster response, consistent conversations and more selling capacity without forcing their operation into a generic SaaS tool.

PostNexa.io
Create social copy, images, short videos and reels, then schedule and publish across channels from one workspace. PostNexa connects content production with distribution while keeping each brand organised and consistent.
For small and medium businesses, marketers, freelancers and agencies managing multiple brands and social accounts.
Our delivery model is designed for organisations with regulated processes, multiple systems and real operational volume.
This list describes sectors our capabilities are designed for. Capabilities are configured around each sector’s operating, integration and governance requirements.
A defined sequence from opportunity to running system — each stage has its own outputs and sign-off.
Map the operation, the volumes, the systems and where AI actually changes the outcome.
Define the target architecture, data flows, business rules and human oversight points.
Build and deploy the modules into your environment with staged testing.
Connect CRM, ERP, ticketing and internal APIs so the system operates on live data.
Run the system with monitoring, exception handling and defined escalation paths.
Tune rules, knowledge and routing against measured operational outcomes.
Enterprise AI has to be controllable. These capabilities are part of how we design systems, not an add-on.
Access to systems, data and AI actions is scoped to defined roles.
Human-in-the-loop review and approval at the points that carry operational risk.
Responses grounded in approved knowledge, business rules and escalation logic.
Monitoring and exception handling for the running system.
Data handling configured to the environment and project requirements.
Scope and retention of audit trails defined per deployment.
Model selection, change control and review process defined per deployment.
Alignment with your internal AI policy where one is defined.
Extended monitoring, retention and reporting requirements.
Additional security and privacy controls requested by your organisation.
Available depending on deployment architecture, infrastructure and project requirements.
Responsible AI is a design principle in our delivery approach. It is not a certification or a verified compliance framework.
Perspectives on enterprise AI, automation architecture and operations.
New insights are published regularly.
Understand how ALTINKEY approaches enterprise AI architecture, implementation, integration and ongoing operation.
Bring us an operation that is slow, manual or hard to scale — we will map what enterprise AI would change.
Talk to an AI Transformation Expert