Chatbots & Conversational AI

AIGard builds chat and voice assistants for support, sales and operations, trained on your content and connected to your systems. They hand over to a person when they should.

The work typically covers:

• Conversation design
• Knowledge base and retrieval setup
• Integration with CRM, ticketing and booking systems
• Web, mobile, messaging and voice channels
• Handover to human agents
• Analytics and continuous improvement

Chatbots & Conversational AI is usually the right investment in one or more of these situations:

• Support volume is growing faster than the team
• Customers ask the same questions repeatedly
• You want lead qualification or booking out of hours
• An older rules-based bot frustrates users

On a 30-minute scoping call we confirm whether it fits your case and recommend a team shape and first milestones.

Yes, an AI chatbot built by AIGard can use your existing help content. We connect it to your knowledge base and documents so answers come from your own material.

Knowledge base and retrieval setup is part of the build, alongside conversation design. The assistant can also connect to CRM, ticketing and booking systems, and analytics support continuous improvement after launch.

When the chatbot cannot answer a question, it hands the conversation to a person with the context attached.

Handover to human agents is designed into the assistant from the start, so it passes a conversation on when it should. Integration with CRM and ticketing systems allows the handover to reach your team in the tools they already use, with the earlier exchange available to them.

By treating the model as one part of a system. Production work covers data pipelines, evaluation, deployment, monitoring and retraining as well as the model itself.

We agree the success metric first, assess whether your data supports the use case, and build the surrounding engineering so the system keeps performing after launch.

Privacy and security controls for each AI use case are defined up front, and engineers work inside your environment under least-privilege access.

We agree which AI tools and models may access your code and data, including retention and training settings, with human approval for sensitive actions.

For Chatbots & Conversational AI, AIGard engineers typically work with Anthropic, OpenAI, LangChain, Python, Node.js, Salesforce and ServiceNow.

The stack is selected to fit the systems you already run, and engineers are matched to it before they join.

Chatbots & Conversational AI is available through any of AIGard’s three engagement models: staff augmentation, where engineers join your team; a dedicated team that runs the workstream; or software outsourcing, where AIGard delivers a defined project.

The choice depends on how much of the delivery you want to manage, and it can change later under the same agreement.

Engineers typically start within two to four weeks of the scoping call. The exact date depends on the roles, seniority and number of people required.

We confirm a realistic start date in writing before you commit, and you meet the proposed engineers before work begins.

AIGard engineers typically cost 30–50% less than the fully loaded cost of a comparable US-based hire, with no recruiting fees, benefits overhead or insurance costs on your side.

The figure for a specific engagement depends on the model, the roles, the seniority mix and the size of the team. We issue a written proposal after the scoping call, so the commercial terms are agreed before any work starts.

NDAs are signed before any access is given, and engineers work inside your environment under least-privilege access, with permissions limited to their responsibilities.

Access is reviewed as roles change and removed when work ends. Our practices align with ISO 27001, SOC 2, GDPR and HIPAA, with PII masking, encryption and audit logging built into data work. We review your access policies, data-handling needs and vendor requirements during scoping.

You do. Intellectual property assignment is written into every contract, in every engagement model.

That covers source code, designs, documentation, data, models and prompts produced for you. Third-party components and their licenses are identified, so ownership is clear at handover.