Diagnosis
We map ICP, data sources, CRM, cadences and bottlenecks. We leave with a prioritized backlog.
We teach the team to use AI in concrete sales tasks, with their own cases and criteria to avoid automating the wrong things.
We teach the team to use AI in concrete sales tasks, with their own cases and criteria to avoid automating the wrong things.
We map ICP, data sources, CRM, cadences and bottlenecks. We leave with a prioritized backlog.
We connect tools, data and prompts into auditable workflows. First in sandbox, then with real accounts.
We train the team, measure replies, adjust criteria and leave documentation to operate independently.
We work with tools B2B teams can maintain: CRM, enrichment, outbound, automation and reporting with clear ownership for each system.
See details →Prospecting agent to identify accounts, write first touches and detect sales-ready leads.
Data, signals and personalization at scale without losing control of sources.
Account and contact research using ICP, territory, sector and role criteria.
Workflows across forms, CRM, enrichment, email and reporting without black boxes.
Pipeline, properties, scoring and reporting to measure what happens after the first touch.
Campaigns, domains, warm-up, deliverability and controlled follow-ups.
Most commercial training programmes have the same underlying problem: they're designed to be well-rated at the end of the day, not to change what the team does the following Monday. Techniques are explained in the abstract, role plays run with generic cases, and the team leaves with a sense of having learned something useful. Six weeks later, nothing has changed in practice. The problem isn't the training itself — it's that it wasn't anchored to the team's real context.
What differentiates training that works is that it works with real situations, not simulations. If the problem is that salespeople don't qualify well, we work with the opportunities currently in the CRM, with the deals lost last quarter, with the messages the team sent last week. Learning anchored to the team's concrete reality has a radically different retention and application rate.
Every training programme design starts by diagnosing what's failing in daily practice. Does the team not prospect because they don't know how, or because they have no time and no prioritisation criteria? Do they not close because the sales process is too long, or because the proposal arrives late and unfocused? Do they not adopt AI tools in sales because they don't trust them, or because no one has shown them where to insert them without risk? The diagnosis defines the content. Without diagnosis, training is generic.
We train commercial teams in outbound prospecting strategy, practical use of applied AI in sales, opportunity qualification and objection handling, and narrative and messaging for different sales contexts. Every module is built around situations the team will face this week, with the real clients they work with.
The success indicator isn't the satisfaction score on the post-training survey. It's whether the team does something differently the following Tuesday, and whether that change generates better conversations, better qualification, and measurable results. That's what we track, and that's what we pursue.
Tell us about your team, market and current tools. We will show where AI can create pipeline and where it would only add noise.
We will reply in less than 24 hours.
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