Chatbots & AI Assistants

Assistants that answer from your data and get things done

Customer-facing chatbots and internal assistants built on today's language models, grounded in your catalogue, policies and customer records, and connected to your systems so they can act, not just talk. With a clean hand-off to a person whenever it is needed.

Plan an assistant

Your store assistantOnline

Where is my order 48213? I need it before Friday.

Order 48213 shipped yesterday and is due Thursday. Would you like a tracking link, or shall I set an alert if it slips?

Source: order systemPolicy: delivery promise

Set the alert please.

Done. You will get an email if the delivery date changes.

Action takenLogged for review

Type a message Talk to a person

Why it matters

The difference between a chatbot and a useful assistant

Generic bots make things up

An assistant that is not grounded in your real data will confidently give wrong answers. Ours answer only from sources you approve.

Most can't actually do anything

Checking an order, booking a slot, updating an address: real value needs real integrations with your systems.

Support teams repeat themselves

The same twenty questions take most of the day. An assistant handles them and leaves people for the hard cases.

Staff can't find internal answers

Policies, product specs and process docs scattered across drives. An internal assistant turns them into one place to ask.

What we deliver

Grounded, connected and supervised

We build on leading language-model APIs and keep the architecture vendor-neutral, so you can switch models as the market moves without rebuilding.

Grounding in your knowledge Catalogue, help centre, policies and documents indexed for retrieval, so every answer cites a real source and stays current when the source changes.

Actions through your systems Order status, returns, bookings, account changes and more, performed through secure integrations with your commerce platform, CRM or helpdesk, with permission checks on every action.

Human hand-off with context When the assistant should not decide, it passes the full conversation and customer record to a person in your existing support tool. No repeating the story.

Guardrails, logging and review Topic limits, tone rules and safety checks, every conversation logged, flagged answers reviewed, and quality measured against a test set before each change goes live.

Every channel, one assistant Web chat, in-app, WhatsApp, email and internal tools like Slack or Teams, all served by the same assistant and the same knowledge.

What changes

Where assistants earn their keep

We measure resolution rate, response time and hand-off quality against your current support numbers.

Routine requests resolved Order status, returns and common questions handled instantly, around the clock.

People freed for hard cases Your team spends its time on the conversations that need judgement.

Every answer reviewable Each conversation is logged with its sources, so quality is visible and improvable.

Typical assistants

Four kinds of assistant we build most often

Customer supportOrders, returns, delivery, account questions, resolved around the clock.

Shopping assistantGuided product discovery that uses search and recommendations in conversation.

Internal knowledgeStaff ask about policies, products and processes and get sourced answers.

Operations copilotsSummaries, drafts and lookups inside the tools your team already uses.

Works best together with

Customer Data & CDP So the assistant knows who it is talking to. Search & Discovery The index behind every grounded answer. Software Development The integrations that let it take action.

Start with one assistant, in one channel

We will scope a pilot around your most common requests and measure it against your current support numbers.

Scope a pilot