Service
AI chat assistants that answer accurately and hand off cleanly
A good assistant answers the five questions that stall a decision, collects enough detail for a useful callback, and knows when to stop talking and fetch a human. A bad one invents a price. The difference is almost entirely in how it is built and constrained.
What this service is, in plain terms
Most inquiries arrive outside business hours or from people who are not ready to phone. They want to know whether you cover their area, whether you handle their situation, roughly what it costs and how soon you could start. Those questions are answerable from information you already have, and answering them at eleven at night is the difference between an inquiry and a competitor.
We build assistants grounded in your own content: your service pages, your policies, your service area, your process. The model is instructed to answer only from that material and to say plainly when it does not know, rather than producing something plausible. Grounding is the whole job; a general chatbot pointed at your website is where the horror stories come from.
The guard rails matter as much as the answers. No pricing commitments, no scheduling promises the calendar cannot keep, no legal, medical or financial advice, and resistance to people trying to talk it out of its instructions. Everything is logged so you can read what it actually said.
The situation
What usually brings people to this page
After-hours inquiries go cold
More than half of inquiry intent arrives when nobody is at a desk. By the time the office opens the person has messaged two competitors and one of them replied first.
Your team answers the same five questions all day
Do you cover my area, do you handle this kind of job, what does it cost roughly, how soon can you start, do I need to be there. Answering these by phone is a tax on the people who should be doing the work.
The generic chat widget makes things worse
A bot that cannot answer anything and loops back to 'leave your email' trains visitors to ignore it. Worse, an ungrounded model will confidently invent an answer that is wrong.
Nobody knows what visitors are actually confused about
Your analytics show where people leave, not what they wanted to know. That information is only visible if something is having conversations and recording them.
Scope
What you get
Everything below is included in a standard engagement. Anything outside it is quoted separately and named before work starts.
Knowledge base built from your material
Service descriptions, coverage area, process, policies, FAQs and constraints, written into a structured source the assistant answers from — and which is easy to update when something changes.
Grounded assistant with explicit boundaries
A system prompt that defines scope, forbids commitments on price and availability, requires an honest 'I do not know' outside scope, and refuses to be redefined by user instructions.
Prompt injection defense and logging
Detection for role-switching, system-prompt extraction and hidden instruction attempts, with blocked attempts logged server-side for review.
Lead capture inside the conversation
Name, contact, location and problem collected conversationally when intent appears, written into your database and routed to whoever should follow up.
Human handoff
Clear escalation when the question is out of scope, the tone suggests frustration, or the visitor asks for a person, including out-of-hours behavior that sets an honest expectation.
On-brand interface
A widget matching your design system, accessible by keyboard and screen reader, with visible focus states and readable contrast, that does not ambush visitors on arrival.
Conversation review dashboard
Every conversation stored and readable, so you can see what people ask, where the assistant struggled and what should be added to the website itself.
Tuning period after launch
Two to four weeks of reading real transcripts and adjusting scope, phrasing and knowledge, which is when an assistant goes from acceptable to genuinely useful.
How it runs
The process, start to finish
- 01
Define scope and rules
We agree exactly what it may discuss, what it must refuse, and what happens when it does not know. Writing the refusals down first is what prevents the embarrassing transcripts.
Week 1 - 02
Build the knowledge source
Content gathered, gaps filled, facts confirmed with you. Anything the assistant should never state, such as prices, is explicitly excluded rather than left ambiguous.
Weeks 1–2 - 03
Build, adversarially test, launch
We try to break it: injection attempts, out-of-scope questions, hostile phrasing, requests for commitments. Then it goes live, often to a portion of traffic first.
Weeks 2–4 - 04
Read transcripts and tune
Weekly review of real conversations, adjustments to knowledge and boundaries, and a list of website content that should exist based on what people keep asking.
Ongoing
Outcomes
What changes when this is working
Inquiries captured around the clock
Questions get answered and details get collected at midnight, so the morning starts with a qualified list rather than a missed opportunity.
Fewer repetitive interruptions
The routine questions are handled, so calls that reach a person are the ones that need a person.
Better qualified conversations
Location, job type and timeline arrive with the inquiry, so the first human contact starts from a useful position.
A live record of customer confusion
Transcripts are the cheapest customer research available and consistently reveal missing content worth adding to the site.
Investment
How pricing works
A fixed build fee covers scoping, knowledge base, guard rails, integration and the tuning period. Running cost is small and depends on conversation volume, since model usage is billed per message.
What moves the number
- How broad the scope is. Answering five well-defined questions is a fraction of the work of covering an entire catalog.
- Whether the assistant only answers or also writes into your CRM, scheduling or ticketing systems.
- How much source material exists already versus needing to be written.
- Whether you need multilingual support.
- Compliance sensitivity, which raises the amount of adversarial testing required.
If your traffic is very low, an assistant is not the highest-value thing to build. We will say so and point you at the page or the profile instead.
Typical timelines
- Scoped assistant, answers only
- 2–3 weeks
- With lead capture and routing
- 3–5 weeks
- With CRM or scheduling integration
- 5–8 weeks
It is constrained to answer from your supplied material and instructed to say it does not know and offer a handoff when a question falls outside it. That plus adversarial testing before launch is what keeps it honest. We also log every conversation so you can verify rather than trust.
Only if you want it to, and we usually advise against it for custom work. The default is that it explains what drives cost and offers to arrange a real quote, which protects you from being held to a number a model produced.
It says so, offers to take contact details, and routes to a person. Out of hours it sets an honest expectation about when someone will reply rather than implying an immediate response.
Conversations are stored in your own database. We do not train models on your customer data. Anything sensitive can be excluded from what the assistant is allowed to collect at all.
People will try. We include detection for the common patterns — role switching, requests for the system prompt, instructions embedded in pasted text — and log blocked attempts. No defense is perfect, which is why scope is kept narrow and it has no ability to commit you to anything.
Only if configured badly. Ours does not auto-open on arrival or block content. It sits as a small control that people open when they want it, and it is fully keyboard and screen reader accessible.
Model usage for a typical small business site is a few dollars a month rather than a subscription per conversation. We can cap usage so an unexpected traffic spike cannot produce an unexpected bill.
Yes, with calendar integration, and it is a deliberate decision rather than a default. Booking means it can commit your time, so it needs tighter rules and more testing than an assistant that only answers.
Related services
These are usually bought together, because they solve adjacent halves of the same problem.
- Business AutomationEvery business runs on a handful of small repeated tasks nobody was hired to do.
- Website Design & DevelopmentMost business websites are brochures that happen to be online.
- Custom Software & SaaSThere is a point where configuring a generic product costs more than building the thing you needed.
What clients say
5.0 on Google
These guys are super professional and top tier - they helped me rebuild my old site, run ads and created a custom CRM. I recommend !
Rafael Guerrero
Google review
Absolutely love my new website! All details are perfect & I’ve already had an insane increase in reach! They are definitely the way to go!
Averie Chindavat
Google review
Excellent team to work with, they helped me from the ground up!
Alan Trevino
Google review
Top notch services ! 10/10 will Keep working with Columbia tech
julio
Google review
Website Masters!
House Buyers
Google review
Next step
Ready to make work easier?
Share what is taking too long, failing to connect, or holding the business back. We will review your request and follow up by email.
Live example
Try it yourself
This is a working assistant we built for our own site — grounded in our nine services and how we work. Ask it something. The same kind of assistant can be trained on your business and embedded on your website.
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