Solution
AI assistants configured around approved business knowledge and integrated with websites, WhatsApp, CRM, helpdesk and other business applications.
A governed assistant that answers from approved sources, completes permitted workflows and hands complex conversations to a person with context intact.
Website and WhatsApp conversations pass through controlled orchestration to approved knowledge and business systems, with explicit limits and a human route for anything uncertain or consequential.
Each channel has defined consent, identity, tone and escalation behaviour.
Third-party AI platforms are selected for the workload and reached through a controlled server-side integration.
Answers are grounded in reviewed sources, with permissions respected and unsupported questions refused or escalated.
Read and write actions are allowlisted, validated and logged; read-only access is the default.
People receive context, unknown answers are not invented, and operating quality is reviewed after launch.
Yes. Both channels can use the same approved knowledge and routing rules while retaining channel-specific consent, templates and escalation behaviour.
OpenAI, Anthropic Claude, Google Gemini and Microsoft Copilot Studio can all be integrated. Selection follows the workload, data-handling requirements, existing ecosystem and budget rather than a fixed vendor preference.
Yes, where the system provides an API or supported connector. Leads, summaries and tickets can be created with only approved fields, and consequential actions can require human confirmation.
The assistant is grounded in approved sources, tested against known questions and told to refuse or escalate when evidence is missing. That reduces but cannot completely remove model error, so it is not given unchecked authority.
No. We configure and integrate established third-party AI services. The value is in the knowledge, controls, workflows, testing and operations around the model.
By channels, conversation volume, knowledge sources, integrations, handoff workflow and implementation complexity. Provider usage charges vary, so the estimator is indicative and a firm proposal follows discovery.
Send the environment details and get an engineered proposal with assumptions, risks and a rollback path.