AI for Sales & Business Development
capability building,
designed for your organisation.
A custom-built corporate programme for B2B sales executives, account executives, business development managers, inside sales leaders, sales engineers, pre-sales solution architects, and sales operations specialists. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- AI sales stack categories: CRM AI, conversation intelligence, account research, outreach personalisation, sales enablement
- Tool landscape: Salesforce Einstein, HubSpot AI, Microsoft Dynamics + Copilot, Gong, Chorus, Clay, Apollo AI
- What's mature: research, personalisation, summarisation. What's emerging: AI SDRs, autonomous outreach
- Strategic implications for sales operating model and roles
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Demonstrable skills your team will apply on live projects.
Apply AI across the full sales cycle
Prospecting, research, outreach, discovery, demo, proposal, negotiation, close, expansion — with role-specific patterns for each.
Personalise outreach at scale without becoming spam
Prompt patterns, account-data integration, and quality-control discipline that produces higher reply rates.
Use conversation intelligence for deal coaching
Gong/Chorus integration, AI-coached call review, deal-risk detection, manager coaching workflows.
Pass GSDC AI for Sales certification
Two attempts; cohort first-attempt pass rate 91%.
Achieve measurable pipeline and conversion lift
20-35% reply-rate lift, 15-25% discovery-to-proposal conversion lift — typical cohort outcomes.
Become an internal AI sales champion
Equipped to evangelise responsible, high-yield AI use within the sales organisation.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Aware AI tools exist for sales but unsure which deliver real pipeline lift vs. activity theatre
- ·Limited fluency with AI in CRM workflows (Salesforce Einstein, HubSpot AI, Zoho Zia, Microsoft Dynamics AI)
- ·Generic ChatGPT use that produces obviously-templated outreach — and gets ignored
- ·Cannot leverage account-research AI tools (Clay, Apollo AI, Cognism, ZoomInfo Copilot) for real account planning
- ·No discipline for prompt-driven discovery, demo, and proposal preparation
- ·Limited use of AI for deal coaching, conversation intelligence (Gong, Chorus, Salesloft Conversations)
Where they'll arrive
- ✓AI sales-stack fluency across CRM AI, conversation intelligence, account research, and personalisation tools
- ✓Prospect research at scale — qualified, personalised, multi-channel research that converts cold to warm
- ✓Outreach personalisation that actually works — patterns that beat generic GPT-3-style templates
- ✓Discovery & demo preparation — AI-augmented preparation that produces stronger first meetings
- ✓Pipeline analysis and forecasting — AI-augmented deal review and forecast accuracy
- ✓GSDC AI for Sales certification — credential for senior sales roles and RFP responses
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
No, AI will augment B2B sales teams by automating prospecting, research, outreach, and CRM tasks, while human sellers remain critical for relationship-building, negotiation, and strategic selling.