FOR SALES

Build an AI agent team for sales.

Polyant is the software to build AI agents inside the commercial team's flows. Commercial briefs ready at the start of the day, contract screening before sending, customer abandonment signals identified ahead.

4specialised agents
24/7operation
CRMnative integration
02 THE CHANGE

The rhythm of commercial work changes.

What changes is where the day's summary lands: no longer in the inbox of those who must build it, but on the desk of those who must use it, at the start of the day, with yesterday's numbers already done. What changes is the time it takes to notice a customer drifting away: hours instead of weeks. What changes is the moment when legal enters the process: before the proposal is sent, not after the signature.

These are some of the changes that become visible in the week's work, before the quarterly reports.

See more example agents that produce these changes

03 SALES SQUAD

A squad of agents specialised in the operational side of commercial work.

For a large company's sales team, a squad of agents works outside operating hours too. Each agent does its part and hands the work over to the next, under the same configuration and the same audit registry.

01 BRIEF

RevOps Brief

Commercial summaries prepared outside the team's operating hours, with pipeline, meetings, and emails from the day before: the summary is ready before the morning meeting.

See the agent
# sales-briefing 07:02
RB RevOps Brief
Idritech SpA silent 8d · proposal expiring
Nexar Group proposal sent · no reply
Aludra Srl signature expected this week
02 COACHING

Sales Coach

Analysis of the commercial team's emails: suggestions on tone, message clarity, and commercial coherence, customer by customer.

See the agent
A. Smith Re: Q2 proposal
87 Tone too formal — try a direct opener
M. Jones Meeting follow-up
71 Long message: summary in the first 2 lines
S. Williams Renewal offer sent
94 Excellent — consistent with the customer history
03 RETENTION

Churn Watch

Identification of customer abandonment signals before the relationship ends: highlights patterns consistent with churn risk and brings them to the team's attention.

See the agent
CustomerSignalRisk
Idritech SpA Silent 12 days · 3 emails unanswered high
Nexar Group Proposal expired · no extension med
Orbis Srl Meeting cancelled 2× med
Proxa Corp Active contact · reply < 24h low
04 COMPLIANCE

Compliance Scan

Pre-screening of contracts and regulated proposals before sending to the customer, for industries where the contract goes through legal before signature.

See the agent
Proposal no. 2024-081 In review
Missing disclosure
MiFID II art. · regulated financial instrument
Alt. 1 …in compliance with MiFID II and applicable supervisory provisions.
Alt. 2 …with full disclosure attached to the offer document.
Audit trace recorded · 14:31
04 A DAY SEEN BY THE AGENTS

Two agents, two moments, the same configuration.

For a large company's sales team, a squad of agents works outside operating hours too and delivers the summary in the morning.

07:00
RevOps Brief
09:15
RevOps Brief
14:30
Compliance Scan
Squad
07:00 RevOps Brief

The summary is already on Slack.

For the head of sales at a corporate bank, the day starts on Slack. RevOps Brief ran overnight, reading outbound emails, CRM tickets, calendar events, and updated deals. The summary appears in the channel with direct links to each customer's CRM record. Three active customers to push, two deals at risk for prolonged silence, five follow-ups requiring a head-of-sales decision.

09:15 RevOps Brief

The sales lead approves in the thread.

In a few minutes, the sales lead approves the priority actions directly in the Slack thread. RevOps Brief captures the decision, notifies in each customer owner's channel with the day's priorities, and logs the next action on every deal in the CRM. No screen switching, no menu items.

14:30 Compliance Scan

The proposal is intercepted before sending.

A sales rep clicks "Send" on a corporate proposal that requires legal authorisation. The system intercepts the message and triggers Compliance Scan. The agent detects a reference to a sensitive financial instrument with no mandatory disclosure included, and suggests two revised versions in a panel alongside the message. The sales rep selects the revision, applies it, and the message then sends. The audit registry records the decision trace: the rule triggered, the alternative chosen, and the handling time.

Squad

Two agents, one same instance configuration.

The two agents connect to different systems — Slack and CRM for the first, email and the internal proposal-generation system for the second — but pass work state through shared memory and follow the same instance configuration. An operating model where specialised agents work together under the same rules and the same audit registry.

05 INDUSTRIES

Industries where these workflows are relevant.

Exelab has commercial experience across multiple industries. In each one, the commercial side has different constraints and relevant agents. The regulatory detail and the specific cases live on the industry pages.

BANKING

Banking

Corporate pipeline with regulated offers. Proactive contract screening, morning briefs across the network, and churn signals on at-risk credit lines.

See the industry →

Other regulated industries

Healthcare, public sector, and other regulated contexts have specific commercial dynamics: discovery serves to understand where the customer's needs sit and to build the agent for the industry where the commercial team actually operates.

See all industries →
07 FREQUENTLY ASKED QUESTIONS

Four questions from heads of sales.

Polyant is designed to integrate with the corporate systems already present in the customer's perimeter. Several connectors are available for the most common platforms, which agents query as tools when needed. For proprietary systems, industry management systems, and less common enterprise platforms, the integration is delivered during the project by the Exelab team. The logic is the same throughout: the agent talks to the tools, the tools talk to the APIs of the customer's system.

The typical timeline for a first Sales agent is 4–8 weeks: discovery, configuration, integration with the customer's systems, and handoff to the operations team. The main factor is the integration with the customer's systems. When the systems are already covered by ready connectors the time shrinks. For proprietary or industry-specific systems the Exelab team builds the integration inside the delivery project. The effective duration is defined in discovery on the real case.

Operational management of the agents, including rule changes, prompt updates, and configuration evolution, stays with the customer's team via the graphical admin panel or directly in TypeScript. Above this level, Exelab provides managed services: software infrastructure management, product maintenance and updates, operational support with contractual SLA. The three managed profiles are Core, Advanced, and Ultra, each calibrated to the customer's specific level of operations, criticality, and compliance requirements. When the customer wants to delegate agent management as well, professional services kick in separately. The detail of the managed profiles is on the /managed page.

Value is measured across three types of outcome: time reclaimed by the commercial team against the pre-agent baseline, on meeting preparation activities, email analysis, building the week's briefs. Risk intercepted before sending, on regulated contracts, out-of-standard proposals, communications with personal data in cleartext. Pipeline controlled on business lines at risk of customer churn, with anticipation against cancellation. For each agent deployed, a numerical baseline is established during discovery and tracked through the first weeks of operation. The agents featured on this page are illustrative examples: the real indicators depend on the specific agents the customer chooses to build for the commercial team.

Two paths to start.

A 30-45 minute conversation to understand how Polyant for Sales applies to the customer's needs and how long it takes for the first agent in production.