AI service
Chatbots that answer from your content and know when to hand off
A support or sales assistant grounded in your documents and systems, with sources shown, clear limits and a smooth handoff to a person when it should not answer.
Customers do not hate chatbots. They hate chatbots that loop, invent answers and trap them away from a human. A good one resolves common questions quickly, says plainly when it does not know and passes the conversation to your team with context so nobody has to repeat themselves. That outcome comes from design choices, not from a bigger model.
We build chatbots that answer from material you control: your help center, policies, product documentation and, where appropriate, live data such as order status through a permissioned lookup. Responses cite their sources, the bot refuses topics outside its remit and anything involving payments, legal commitments or complaints is routed to a person by rule rather than by hope.
You get conversation logs, a way to review failures and a simple process for improving content when the bot cannot answer. Your team can see which questions come up most often, which is useful beyond the bot itself. We deploy the assistant on your website or inside your product and connect handoff to the tools your staff already use for support.
The problems
What usually goes wrong
Repeated questions swamping the team
Opening hours, order status, onboarding steps and policy queries fill the inbox and delay the conversations that need a person.
Bots that invent answers
A model without grounding will confidently state prices, policies or promises that you never made, creating work and risk.
Dead ends with no human option
Customers stuck in a loop abandon the conversation and remember the experience. Handoff is hidden or missing.
No visibility into what customers ask
Without logs and review, you do not learn which questions the bot fails on or which gaps exist in your documentation.
What you get
Deliverables
Knowledge base grounding
Your documents and pages indexed so the bot answers from approved content and cites where each answer came from.
Conversation design and limits
Tone, scope and refusal rules, including topics the bot must never discuss and phrases it must not use.
Live lookups under permissions
Secure access to data like order or booking status, available only to the right authenticated customer.
Human handoff
Rule-based escalation to your team through email, a helpdesk or chat, with the transcript attached.
Review dashboard
Conversation logs, unanswered questions and feedback, so you can fix content and adjust behavior based on real use.
Website or in-app widget
An embeddable chat interface matched to your brand and accessible on phones, with clear disclosure that it is automated.
How it works
Step by step
01
Gather the questions
We collect real customer questions from your inbox, chat logs and team knowledge to see what the bot must handle first.
02
Prepare the content
We identify gaps and conflicts in your documentation, organize it for retrieval and agree what is authoritative.
03
Build and test with your team
We build the assistant and have your staff attack it with tricky and off-topic questions before any customer sees it.
04
Connect handoff and lookups
We wire up escalation and any live data access, then test the full journey from question to resolution or human takeover.
05
Launch and improve
We release to a limited audience, review conversations weekly and update content and rules based on what we find.
Timeline
How long it typically takes
A chatbot answering from existing documentation with handoff to email often takes three to five weeks from approved scope. Adding authenticated lookups, helpdesk integration or multiple languages typically extends it to six to ten weeks. Tidying up source content is often the longest task, so start gathering it early.
Who it's for
- Support teams answering the same questions repeatedly across email and chat
- Businesses that want a website assistant limited to approved information
- Products that want in-app help grounded in their documentation
Who it's not for
- Companies without any documented policies or content for the bot to draw on
- Teams hoping to remove human support entirely
- Situations needing regulated advice, such as medical or legal guidance, from an automated system
Honest scoping
Where AI helps, and where it doesn't
Where AI helps
- Answering frequently asked questions from approved documentation
- Guiding visitors to the right product, plan or booking option
- Providing order, booking or account status through permissioned lookups
- Collecting details before handing a conversation to the right person
Where it doesn't
- Complaints, disputes and emotionally sensitive conversations
- Pricing, refunds or contractual commitments without human approval
- Topics where your documentation is missing or contradictory
- Regulated advice that must come from a qualified professional
Data privacy
Your data stays yours
Conversations can contain personal details, so we keep the data flow short and documented. The assistant calls your own provider account with your keys, and we store transcripts in your environment with retention you control. Credentials are encrypted at rest, and lookups respect the customer's permissions. We do not train models on your conversations through our application layer, and your provider's terms apply to what it receives.
How we handle security →Keep exploring
Related pages
FAQ
Frequently asked questions
Can the chatbot only use our information?
It is designed to answer from your content and to say when it cannot find an answer. We cannot guarantee a model never strays, so we add refusal rules, source citations and logging that let you catch problems.
What happens when the bot cannot help?
It offers a handoff, collects the customer's details and sends the transcript to your team through email or your helpdesk. The customer does not have to explain their issue again.
Can it check an order or booking?
Yes, with a secure lookup tied to the signed-in customer or a verified identifier. The bot only sees what that person is allowed to see.
How do we keep it accurate over time?
Review unanswered and low-rated conversations regularly, then update the content. We provide a dashboard for this, and many clients keep a small retainer for ongoing tuning.
Will customers know it is a bot?
Yes. We recommend clear disclosure at the start of every conversation and an easy path to a person, which builds trust and aligns with good practice.
Next step
Tell us what you want to build
A short call, then a written scope in plain language before any build starts.
- Fixed scope
- Weekly demos
- You own the code