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11 / AI CHATBOT DEVELOPMENT
AI chatbot development grounded in your business knowledge
A controlled knowledge source, clear human handoff and a testable answer quality process.
Discuss your projectWHO IT IS FOR
For organisations handling repeated product, service or process questions across customer or internal channels.
OUR APPROACH
Define the outcome, scope and acceptance criteria before choosing technology, so the investment solves a real problem and remains maintainable.
PROBLEM
Problems to solve before adding another tool.
- Repeated questions consume service time
- Answers are scattered or outdated
- The bot may answer beyond its evidence
- There is no evaluation before launch
OUTCOME
What the project should make better.
- Defined questions and approved sources
- A clear route to abstain or hand off
- A test set for normal and risky cases
- An improvement loop for unanswered questions
USE CASES
Useful scopes shaped around the work.
Internal Knowledge
Help staff search documents with appropriate access controls.
Lead Triage
Gather initial context before a person takes over.
Human Handoff
Pass difficult or sensitive cases to the right team.
ANSWER BOUNDARIES
Questions, approved knowledge and human handoff
Constrain sources and access, define abstention and escalation, and test representative questions before launch.
Inputs
- Questions
- Approved sources
- Access rules
System & outcomes
- Answer or abstain
- Human handoff
- Evaluation log
DELIVERABLES
Deliverables that can be accepted and operated.
Use-case and data-readiness review
Knowledge-source and permission design
Conversation flow and human handoff
Evaluation set and acceptance criteria
Monitoring and update plan
SCOPE & INVESTMENT
Scoped around the work—not the service label.
Scope depends on knowledge sources, channels, languages, integrations, security and ongoing content maintenance. We do not promise an unmeasured accuracy level.
- Source quality and quantity
- Channels and languages
- Integrations
- Evaluation and support
ACCEPTANCE & OPERATION
Acceptance and operating costs
- Evaluate supported, unsupported and outdated-information questions
- Hand off approved context to a human operator
- Keep knowledge access within the user’s permissions
Ongoing costs to itemise in the proposal
- Usage-based model/API and connected-tool fees
- Evaluation and knowledge-source maintenance
- Monitoring, permissions and workflow changes
Test coverage and operating responsibilities are agreed for the project before work begins.
From scope to acceptance and handover
01 /
Understand
Discuss goals, audiences and constraints to define a useful scope.
02 /
Design
Make structure and interactions clear before development begins.
03 /
Build & test
Develop the system and test critical journeys across real devices.
04 /
Launch & support
Launch, share documentation and use evidence to guide improvements.
Agree test cases, reviewers, account ownership and support before work. Test critical journeys with approved data before launch.
FAQ
Questions before the work begins.
How does a chatbot differ from an AI agent?
This chatbot primarily answers and escalates from approved knowledge. An agent may use tools or take steps in other systems under designed permissions and approvals.
Can wrong answers be prevented?
No design guarantees every answer. We constrain sources and scope, enable abstention and handoff, and evaluate representative cases before release.
How prepared must our data be?
Start with question and answer content and a clear owner. If it is incomplete, we organise and establish an update process before scaling.
Have a problem worth scoping clearly?
Share the context, outcome and systems involved. We will help identify the questions to answer before investing.
Start the conversation