AI Agents & Assistants
We build AI assistants around defined tasks and approved information sources. Each implementation specifies its channels, data access, limits, monitoring, and human handoff rules.
Based in Guyana? See this service for local businesses, with local pricing and FAQs.
AI Agents & Chatbots in GuyanaUseful when you need
An assistant is worth building when the same answer is given repeatedly
The work that suits an assistant is high-volume, low-variance, and already documented somewhere: opening hours, delivery areas, price ranges, specifications, application steps, and the qualifying questions asked before every quote.
Each assistant is built against approved sources you nominate, so it answers from your content instead of guessing. Where it cannot answer, it says so and hands to a person along with what it already collected. The channels, the data it can reach, the limits, the monitoring, and the handoff rules are written down before it goes live.
The same twenty questions arrive every week and someone answers each one by hand.
Enquiries come in overnight and on weekends and are answered on Monday, by which time the buyer has moved on.
Staff cannot find the one clause, price, or specification buried across years of documents.
A previous chatbot invented answers, so the business no longer trusts putting one on the site.
Enquiries arrive across WhatsApp, the website form, and email, with no single place they are worked from.
What's Included
What an assistant engagement hands over
An assistant is a system with a defined scope, not a switch that gets turned on. These are the parts every build includes.
A written scope for the assistant
The tasks it handles, the questions it declines, the channels it runs on, the sources it may use, and the point at which it stops and hands to a person.
Approved knowledge sources
Your pages, documents, price lists, and policies prepared and indexed so answers are grounded in material you control and can correct.
Channel integration
Deployment to the website, WhatsApp, a phone line, or an internal tool, with the conversation reaching the same inbox or CRM your team already works from.
Handoff and escalation rules
What triggers a transfer to a person, what the assistant passes along with it, and what happens outside working hours so nothing is left in a queue nobody watches.
Conversation logging and review
Every exchange recorded and reviewable, so you can see what was asked, what was answered, and where the assistant was wrong or unhelpful.
A correction loop
A defined way to fix a bad answer by amending the source material, so the same mistake stops recurring and the team is not left working around it.
What businesses use these for
These are the assistants that pay for themselves quickly, ordered roughly by how often they are asked for.
Website FAQ and enquiry capture
Answers hours, locations, delivery areas, and service questions from your own pages, then captures name, contact, and requirement when the visitor wants a person.
Qualification before a quote
Asks the questions your team asks anyway, quantity, timeline, specification, budget range, so the enquiry arrives complete, sparing you a three-message exchange.
After-hours coverage
Handles the overnight and weekend enquiries that would otherwise wait until Monday, answering what it can and queueing the rest with full context attached.
Document search for staff
Search across contracts, specifications, manuals, and policies that returns the passage and the source document, so the answer can be checked against its source.
Drafting support
Produces first drafts of quotes, replies, and summaries in your house wording, for a person to check and send. The draft saves the typing and leaves the judgement with the person sending it.
Call handling
A phone agent that answers routine calls, gives standard information, takes messages with structured details, and transfers anything outside its scope.
Industries and teams we can support
The decisions made before an assistant is built
Scoping, far more often than technology, is where a disappointing assistant goes wrong, so these are settled in writing before any build starts.
The task it owns
One well-defined job done reliably beats a general assistant that is unpredictable. We name the task, and name what it will refuse.
Sources it may answer from
The specific pages, documents, and records it can use, and who keeps them current. An assistant is only as accurate as the material behind it.
What it must never do
Commit to a price, confirm stock, promise a date, give clinical or legal advice, or take a payment. These limits are enforced in the build itself, so no wording in a prompt can lift them.
The handoff point
The conditions that end the conversation and pass it to a person, who receives it, and what the buyer is told while they wait.
Data the assistant may see
Whether it reaches customer records, orders, or pricing, and what it is permitted to reveal. Sensitive data raises the review and monitoring requirement.
How success is measured
Enquiries captured, questions resolved without a person, response time outside hours, or hours returned to staff. The measure is agreed before launch so the review has something to judge.
Our Process
Use Case Definition
Define the task, users, information sources, risks, and success measures.
Knowledge Base Setup
Configure the AI with your business data, FAQs, and processes.
Agent Development
Build, train, and fine-tune the agent for accuracy and tone.
Integration
Connect to your website, CRM, phone system, or internal tools.
Launch & Iterate
Monitor conversations, refine responses, and expand capabilities.
What affects the cost of an AI assistant?
Assistants are priced by workflow risk, data sensitivity, integration count, volume, and monitoring needs. A bounded FAQ or lead-qualification assistant fits a website or micro-application scope. AI tied to regulated data, payments, or operational decisions is scoped after paid discovery.
Build cost is separate from running cost. Model usage, hosting, and monitoring are charged monthly and vary with conversation volume, so the estimate names both figures and the volume assumption behind the second one.
Questions buyers usually ask
Will it make things up?
Assistants are built to answer from sources you approve and to decline when the material does not cover the question. That is a design decision: the assistant is given a defined body of content, and questions outside it produce a handoff. Conversations are logged so you can check this yourself.
What happens when it cannot answer?
It says so and hands to a person, passing along what the buyer already told it so they are not asked the same questions twice. Where that goes, an inbox, WhatsApp, a CRM, or a phone transfer, is decided during scoping.
Can it work on WhatsApp?
Yes, and for most businesses here that is where the enquiries actually arrive. WhatsApp is a supported channel alongside the website and phone, using the official business platform.
Do you use our data to train a model?
No. Your content is used to answer your questions, on your assistant. It is not contributed to model training, and the arrangement with the underlying provider is set out during scoping so you can read the terms for yourself.
How long does it take to build one?
A bounded website or WhatsApp assistant grounded in existing content is typically a few weeks from scope to launch. Assistants that read from internal systems, or that touch sensitive data, take longer because the access model and review process are part of the work.
What does it cost to run each month?
There is a monthly cost covering model usage, hosting, and monitoring, and it scales with conversation volume. The estimate states the assumed volume so you can see how the figure moves if traffic doubles.
Can it take payments or confirm stock?
Not by default, and usually not at all. Actions that commit your business are the ones where a wrong answer is expensive, so they stay with a person or with a system that has proper validation behind it. Where an assistant does touch such a workflow, it is scoped after discovery with the controls agreed first.
What if the answers are wrong after launch?
You correct the source material and the assistant follows. That is why the sources are nominated and owned during scoping: fixing an answer is an edit to a document you control.
Build the surrounding system
Ready to Get Started
With AI & Agents?
Tell us about your project and we'll send you a clear proposal with scope, timeline, and transparent pricing.