We design agents around your tasks, your rules and the tools you already use. They prepare the work: a reply to a customer, a quote, a selection of prospects, a sales file. Your team keeps the decision.
IllustrationScattered requests become an up-to-date record and a ready reply, which your team approves.
Beyond ChatGPT
An assistant answers a question. A custom agent moves the work forward.
Used on their own, ChatGPT or Claude know neither your customers, nor your prices, nor your tools: you have to explain everything again, then copy the answer somewhere else. We connect them to your business so they prepare a complete piece of work your team only has to review.
A general-purpose assistant, on its own
Does not know your data
Cannot act in your tools
Does not apply your rules
Keeps no record of the work
An agent designed for your business
Connected to your toolsIt reads and writes where you work: email, CRM, store, spreadsheet, invoicing.
Fed with your contextIt relies on your customers, orders, prices and documents, not on generalities.
Bound by your rulesMargins, lead times, terms, tone of reply: it applies what you have decided.
Able to actIt creates the record, prepares the quote, files the document, schedules the follow-up.
Tracked over timeEvery job is logged: what was done, from which sources, what is waiting.
Approved by youNothing important goes out without the agreement of the person in charge.
Four examples
From the simplest to the most advanced: what an agent can prepare for you.
Four situations we come across in small and mid-sized businesses. For each one: where it starts, what we connect, what the agent does and what your team gets.
Simple
Customer service: a reply prepared with the customer’s file at hand
1Where it starts
A customer asks where their order is or how to return it. The answer exists, but it is spread across the store, the carrier and your terms of sale.
2What we connect
Online store
Carrier tracking
Terms of sale
Previous conversations
3What the agent does
Finds the order and its tracking
Checks what your terms provide
Writes the reply in your tone
Sensitive case or missing information: it hands over to an advisor, with the summary.
4What your team gets
Reply ready to review
Hello Mrs Lenoir, your parcel was handed to the carrier yesterday; delivery is expected on Thursday. If the size is not right, returns are free for 30 days.
Order no. 4821
Carrier tracking
Returns policy
ApproveEdit
Your advisors review and send; they keep their time for the cases that need judgement.
Intermediate
Quotes: a price prepared from the request, your price list and your rules
1Where it starts
Every request means rereading the need, finding the prices, checking the constraints and working out the margin before you can reply. Requests pile up, and some go unanswered.
2What we connect
Incoming request
Price list
Constraints and options
Margin rules
3What the agent does
Reads the request and spots what is missing
Applies your prices and constraints
Checks the margin against your rule
Suggests a price or a range
Request outside the framework: it flags it and asks the salesperson.
4What your team gets
Quote preparedTo approve
12 workstations€6,200
Two glass-walled rooms€2,400
Delivery and fitting€900
Suggested range€9,200 to €9,800 excl. tax
Margin within your rule
Requested lead time: to confirm with the workshop
Your salesperson starts from a costed, justified quote to approve or correct before sending.
Intermediate
Prospecting: a selection of companies to contact, with the reason for each choice
1Where it starts
Finding the right companies takes hours of research. For lack of time, the same messages go to everyone, and the best accounts are not handled first.
2What we connect
Your target criteria
Company directories
Public signals
Your CRM
3What the agent does
Looks for matching companies
Sets aside poor fits and says why
Completes the record of selected companies
Drafts a tailored first message
No message goes out without the sales manager’s approval.
4What your team gets
This week’s selection
Cabinet OrvaneMoving in January
Groupe SéraneHiring 15 people
Néologis TransportOutside the area
2 records and 2 drafts to approve
Your team starts its week with accounts sorted, explained and ready to be contacted.
Advanced
Tenders: a response file assembled and checked point by point
1Where it starts
Responding means matching specifications that run to dozens of pages with your suppliers’ offers, your documents and your costs, then having each part approved. One overlooked requirement can be enough to rule the bid out.
2What we connect
Specifications
Supplier offers
References and certificates
Cost table
People to consult
3What the agent does
Lists the requirements in the specifications
Matches each one with your documents and the offers received
Flags what is missing or inconsistent
Prepares the costing and the draft response
Each part is submitted to its owner: technical, finance, management.
4What your team gets
Response file
18 of 21 requirements covered
Up-to-date insurance certificateto provide
Lot 2: supplier B’s offer selectedchecked
Technicalapproved
Financeapproved
Managementpending
At any time you know what is covered, what is missing and who still has to approve.
Illustrative examples with fictional data: they describe solutions to be scoped with you, not results obtained for a client. An agent can make mistakes; that is why it shows its sources and leaves the decision to you.
Under the hood
Behind every agent, a workflow connected to your tools.
An agent is not a black box: it is a sequence of steps we build with you. Here is a simplified version, for an incoming request.
What triggers it
Website form
Mailbox
Store or CRM
AI agentreads, searches, prepares
AI modelClaude or GPT, depending on the task
Memoryyour customers, your exchanges
Toolsprices, calendar, documents
Your rulesmargins, lead times, cases to hand over
Expected case and complete information?
Yes
Draft preparedreply, quote or record
Human approvalthe person in charge reviews
No
Handed to an advisorwith the case summary
Sending and updatereply sent, CRM up to date
Logevery step is recorded
Simplified diagram. We build these workflows in n8n or an equivalent tool, depending on what you already use.
The technologies we use
n8nWorkflow automation
ClaudeAI model by Anthropic
ChatGPTAI model by OpenAI
We choose the tool according to the task, your constraints and your data. These brands belong to their owners; Web Katalyst is not an official partner of any of them.
Sources, rules, human control
An agent that knows the context, and knows when to hand over.
To prepare a relevant reply, the agent relies on what your business already knows about the customer. When information is missing or the decision is yours, it hands the case to an advisor, with everything it has found.
What it looks at
The customercontact details, purchase history
Their ordercontents, status, delivery tracking
Previous conversationsemails, tickets, notes
Your terms and ruleslead times, returns, goodwill gestures allowed
Every reply shows what it is based on
Sources consulted
Order no. 10482Carrier trackingReturns policy
Rule applied
Return accepted within the period set in your terms
Approval point
Refund: an advisor’s agreement is required
Illustrative example
When it calls in an advisor
Information is missingThe order cannot be found or the request is incomplete.
The situation is ambiguousTwo rules apply, or the request falls outside the expected cases.
A refund needs authorisationThe agent prepares the case; an advisor decides.
The subject is sensitiveComplaint, dispute, unhappy customer: a person replies.
An agent can make mistakes. That is why every reply states its sources and the rules applied, and why your advisors keep the approval of decisions.
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