Solution
AI Chatbot
AI assistants configured around approved business knowledge and integrated with websites, WhatsApp, CRM, helpdesk and other business applications.
Scope
What is engineered
- Conversation design and grounded knowledge configuration
- Website and WhatsApp Business deployment
- CRM, helpdesk and business-application integration
- Lead capture, routing and human escalation
- Privacy controls, testing, analytics and maintenance
Engineering Outcome
A governed assistant that answers from approved sources, completes permitted workflows and hands complex conversations to a person with context intact.
Scope this solutionArchitecture
AI chatbot integration architecture
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.
01 · Channels
Each channel has defined consent, identity, tone and escalation behaviour.
02 · Orchestration
Third-party AI platforms are selected for the workload and reached through a controlled server-side integration.
03 · Approved knowledge
Website contentPolicies and FAQsProduct dataInternal documentsAnswers are grounded in reviewed sources, with permissions respected and unsupported questions refused or escalated.
04 · Business systems
Read and write actions are allowlisted, validated and logged; read-only access is the default.
05 · Handoff & assurance
Human handoffConversation summaryQuality testingAnalytics and monitoringPrivacy and retentionPeople receive context, unknown answers are not invented, and operating quality is reviewed after launch.
Method
Delivery sequence for this solution
- 01
Discover
Inventory the current environment, measure real usage and record constraints, dependencies and risk.
- 02
Design
Produce a topology, sizing model, addressing plan and security model before anything is procured.
- 03
Deploy
Build in a controlled sequence with change windows, coexistence and a defined rollback point.
- 04
Harden
Apply baselines, encryption, segmentation, abuse controls and least-privilege administrative access.
- 05
Validate
Test against the design: failover, call quality, restore, load behaviour and access control.
- 06
Support
Hand over documentation and runbooks, then maintain patching, monitoring and capacity over time.
Security Posture
Hardening applied at every layer
Firewall
Default-deny rule base, segmentation between voice, server and user zones, logging to a retained destination.
VPN / Secure Access
MFA on administrative access, per-role routing, short-lived credentials and revocation procedure.
PBX / Cloud / Virtualization
Hardened baselines, TLS/SRTP for voice, patch cadence, isolated management network and least-privilege service accounts.
Applications
Identity governance, conditional access, scoped chatbot tools, approved knowledge boundaries, privacy controls, staged mail authentication and audited administrative roles.
Related
Technologies and industries
Technologies
Industries
FAQ
AI Chatbot questions
- Can the chatbot work on both our website and WhatsApp?
- Yes. Both channels can use the same approved knowledge and routing rules while retaining channel-specific consent, templates and escalation behaviour.
- Which AI platform do you use?
- 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.
- Can it connect to our CRM or helpdesk?
- 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.
- Will it make up answers?
- 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.
- Do you build your own AI model?
- No. We configure and integrate established third-party AI services. The value is in the knowledge, controls, workflows, testing and operations around the model.
- How is chatbot pricing determined?
- 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.
Discuss a ai chatbot deployment
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