We build custom AI chatbots and agents trained exclusively on your internal data — CRM records, knowledge bases, documentation, support history — via secure RAG architecture. Your data stays private. Your team gets answers in seconds.
These agents don’t just answer questions — they update records, trigger workflows, and take action across your systems.
Six specific pain points where AI delivers the fastest, most measurable return.
Order status, refund policy, account setup — your support team fields the same 20 queries every day. An AI agent handles all of them, 24/7, in seconds.
You have great docs — but users can't navigate them. A RAG-powered chatbot reads natural language questions and finds the exact answer, even across multiple documents.
HR policy, IT procedures, finance approval rules — staff search email threads and SharePoint folders. An internal AI assistant answers instantly from your actual documentation.
Customers in different time zones wait hours or days. An AI agent resolves routine queries 24/7 and escalates urgent issues to the right human with context attached.
Pricing, feature comparisons, integration questions — pre-sale queries that could be answered by AI, freeing your sales team for conversations that actually need a human.
Onboarding knowledge lives in PDFs, wikis, and experienced colleagues. An AI onboarding assistant answers new starter questions instantly — from your actual internal documentation.
Not vague AI promises. Specific systems, integrated with your existing tools, with ROI scoped before any development begins.
All AI runs against your data inside your secure environment. No data sent to public AI APIs. No training on your content. RAG retrieves relevant context at query time — your information stays private.
Connected to Zoho Desk, Salesforce, HubSpot, Zendesk — chatbot sees the customer's history, open tickets, and account details before responding. Answers are contextual, not generic.
Train on PDFs, Word docs, web pages, Confluence wikis, SharePoint, and structured databases simultaneously. Ask a question that spans three documents — get one coherent answer.
When the agent can't answer confidently — or detects frustration, urgency, or a sensitive situation — it hands off to a human with the full conversation context pre-loaded. No repeat explanations.
Dashboard showing query volume, resolution rate, topics, unanswered questions, and knowledge gaps. Use it to continuously improve your knowledge base and agent quality.
Beyond answering questions — agents that take actions. Create a ticket, look up an order, update a CRM record, trigger an approval. AI that does things, not just talks.
These are live systems we've built for clients. Specific scenarios, specific results.
An AI agent trained on your product documentation, support history, and policies handles incoming support queries. Resolves routine cases instantly. Escalates complex or emotional cases to the right human tier with full context.
An AI assistant trained on your HR policies, employee handbook, IT procedures, and benefit documentation answers internal staff queries instantly — without routing them to HR or IT.
An AI assistant embedded in your website or sales portal that handles pre-sale questions — pricing, features, integrations, use cases — qualifying leads before they reach a rep and ensuring sales conversations start at the right level.
A chatbot trained on your product documentation that answers specific, technical user questions — finding the right answer across hundreds of pages of docs in seconds.
Multiple AI agents working together — a triage agent that classifies incoming requests and routes to the right specialist agent (billing, technical, account management) — each trained on their specific domain.
Beyond question answering — an AI agent that takes actions in your business systems. Raise a ticket. Update a CRM record. Check inventory. Trigger an approval. AI that does things.
Every agent is trained on your specific documentation, policies, and knowledge base. Answers are accurate to your business — not generic responses that could apply to anyone.
We use Retrieval Augmented Generation — your data is retrieved at query time, not used to train the model. Your proprietary information never becomes part of a shared model.
Every agent has configurable confidence thresholds. Below threshold, or when a query is flagged as sensitive or urgent, the agent escalates — with full conversation context — to the right human.
Every unanswered or low-confidence query is flagged in the dashboard. Use it to fill knowledge gaps, retrain the agent, and continuously improve resolution rates.
Web widget, Slack, Microsoft Teams, WhatsApp, email, in-app — deployed wherever your users interact, not as a separate tool they have to go and find.
All three include NDA before day one, ISO 27001 certified process, and ROI modelled before any development commitment.
Every engagement starts by understanding your specific situation — not by proposing technology. ROI is scoped before any code is written.
We map your current process, identify the top opportunities, and model the ROI — before any commitment.
Architecture, data flows, integration plan — reviewed and approved by your team before development starts.
Built into your existing stack via secure APIs. Tested against real data before go-live. Zero disruption.
Live with performance dashboards. As your needs grow, the solution scales — no additional resource required.
Your team is drowning in repeat queries and your response SLAs are slipping. An AI agent handles the 80% routine queries automatically — so your team focuses on the 20% that actually need human judgment.
You want to add AI-powered search and assistance to your product but don't have the ML resource to build it. We design, build, and integrate the RAG architecture — your team owns the output.
Your team fields the same internal policy questions daily. A private AI assistant trained on your employee handbook, IT procedures, and HR policies answers instantly — freeing your team for actual HR work.