Six modules that adapt to how you already work

The problem

Conversations arrive through four different channels, each with its own inbox and its own way of being forgotten. First response time is not measured because nobody agrees where the clock starts.

What the module does

Every conversation lands in one queue, the agent classifies by intent and urgency, answers what it can resolve from the knowledge base, and escalates to a person with the context already summarised. Escalation is designed explicitly, because an agent with no human path is more fragile, not more autonomous.

The problem

The report lands on Monday, the drop happened last Wednesday, and by the time anyone asks why cost per lead went up, three weeks of budget have gone into the wrong campaign.

What the module does

It pulls your marketing and sales sources into one consolidated view, spots variation against the previous period and against your target, and answers questions like "why did my CPL go up?" by naming the campaign, the amount and the evidence. If a source fails, it says so instead of filling the gap with an estimate.

The problem

Quoting means somebody types in measurements, works out volumetric weight by hand, logs into the carrier portal and comes back with a number. The prospect waits, and the margin depends on nobody fumbling a multiplication.

What the module does

The agent pulls origin, destination, pieces, dimensions and weight out of whatever the customer wrote, asks only for what is still missing, computes volumetric weight with a deterministic function and queries carrier rates over an API. Margin and surcharges are applied separately, outside the model, so the commercial logic stays auditable.

The problem

Analysis lives inside whoever knows how to build pivot tables. When that person is busy, decisions get made against whatever version of the file someone happens to remember.

What the module does

You upload a CSV or connect a source, the module profiles the columns and builds a semantic layer so it knows what each field means. From there you ask in plain language and the engine runs the query: the model proposes, the data answers. The resulting dashboard is edited with more prompts.

The problem

The CRM is out of date because keeping it current is manual work nobody wants. Follow-ups get dropped, and nobody knows what happened to a deal until the customer stops replying.

What the module does

The agent reads emails, calls and messages, updates the deal record and flags when a follow-up has gone cold for too long. It drafts the next email in the company's tone and leaves it ready for review rather than sending it on its own.

The problem

Once three agents are running in production, nobody knows which one failed, what last week cost, or who is responsible when something breaks. Governance shows up right after the first incident.

What the module does

A board where each agent is a task with an owner, a status, a cost and a log. Every run is recorded with its input, its output and its errors, so reviewing what happened does not depend on asking an engineer for the logs.