Agent roles and tool access
Define the conversations or tasks it should handle, connect the right knowledge and test representative questions. Establish a clear handoff for uncertainty and exceptions.
AI & automation
AI Agent Development
Turn business knowledge into useful action.
TECHLITHICStrategy into execution
THE OPPORTUNITY
Give intelligence a useful job.
AI creates value when it can use the right business knowledge, work within clear boundaries and hand over confidently. A model alone does not resolve inconsistent information, disconnected tools or unclear ownership.
YOUR FOCUS
Build AI agents for sales, support, lead qualification, internal knowledge, and customer service.
SCOPE & DELIVERABLES
What ai agent development can include.
A scoped engagement connects the specific work below to your current systems and business priority.
Knowledge and system connections
Prepare, organize and review the approved information used by the system. Identify outdated material, missing answers and the person responsible for keeping it current.
Evaluation and exception handling
Test representative tasks alongside incomplete information, tool failures and ambiguous requests. Review accuracy, escalation behavior and recovery before approving a wider release.
Controlled pilot and team handover
Run a bounded trial with agreed users, tasks and measures. Record failures and review effort, then use the findings to decide what should change before expansion.
BUSINESS CONTEXT
Where this work
fits into the bigger picture.
Sales qualification
Collect the prospect’s intent, identify missing information and pass a useful summary to the right owner.
Support and knowledge
Retrieve answers from maintained business information and escalate questions that need judgment.
Internal operations
Connect repeatable decisions with the systems and people responsible for the next action.
GETTING STARTED
Bring the context.
We’ll shape the next step.
Build AI agents around defined responsibilities: qualifying a lead, finding an answer or moving a support request forward. We scope tools, permissions and review points alongside the workflow.
- Examples of the requests or tasks you want to improve
- Approved knowledge sources and a content owner
- A list of systems, permissions and sensitive-data boundaries
HOW TO JUDGE PROGRESS
Agree the signals
before the work begins.
01
Answer relevance and review effort
02
Task completion and exception rates
03
Time spent per completed workflow
The exact measures, targets and review cadence are agreed for your engagement.
QUESTIONS BEFORE YOU BEGIN
A clearer brief.
A better engagement.
What will we receive?
Agent roles and tool access, Knowledge and system connections, Evaluation and exception handling, Controlled pilot and team handover. We confirm the delivery format, boundaries and acceptance criteria in the agreed project scope.
How is the AI grounded in our business?
We review the knowledge it can use, the tools it can access and the rules for escalation. A representative test set helps identify incomplete answers and unreliable actions before broader use.
What happens when it cannot complete a task?
The workflow should stop, request clarification or hand over with context. We agree those boundaries during design so uncertainty does not become an uncontrolled action.
How are timeline and pricing decided?
We review the requirements, integrations, source materials and decision process before proposing a timeline and commercial scope. Platform subscriptions or third-party costs are discussed separately.
RELATED EXPERTISE
Connect the next part of your system.
01
AI Transformation Advisory
Help businesses identify AI use cases, create AI adoption roadmaps, and plan automation strategy.
02AI Chatbot Development
Build custom AI chatbots for websites, WhatsApp, Instagram, Messenger, Telegram, and support workflows.
03AI Knowledgebase Training
Train AI systems using website content, FAQs, product documents, help docs, and business knowledge.
YOUR NEXT CHAPTER STARTS HERE