AI for Smarter Business Development

How to turn AI from scattered prompts into a business development workflow that saves time and creates opportunities.






The AI Maturity Map -Where Are You Right Now?
1️⃣ Curious
I use most days for general 'answer' type questions
2️⃣ Experimenting
Using it multiple times a day & have thread after thread, with a few other AI tools dotted around
3️⃣ Implementing
Built AI coworkers via Projects that have knowledge base + custom instructions
4️⃣ Integrating
Projects + Connectors — Google Drive, Gmail, OneDrive, Microsoft, Canva, + Skills & Scheduled tasks
5️⃣ Leading
Vibe coding , building no-code apps, tools and websites
6️⃣ Agentic
Agent Browsers / Co-work / Code models + AI agents completing multi-step tasks autonomously via agent building pla

Where are you now?
What is your AI Ecoysystem
What 'prompts', full workflows, or agentic processes have you tried already & discuss your results
Today is about showcasing the ability to turn AI from scattered activity into a business development workflow people can actually use.

The gap is not tools. It is Strategy
Business development role
What a modern biz dev function actually covers
Front end growth
  • Lead generation and prospect research
  • Target account prioritisation
  • First-touch outreach and follow-up
  • Opportunity qualification prep
Relationship growth
  • Client nurturing and re-engagement
  • Thought leadership and visibility
  • Messaging refinement and positioning
  • Insight gathering for offers and partnerships
Job description framework
Business Development: Definition and Job Description
Role to coworker map
Turn job tasks into focused AI Teammates/ CO-WORKER's
Lead Generation Strategist
Researches target sectors, builds prospect profiles, segments priorities and drafts tailored first-touch outreach.
Client Nurture Assistant
Surfaces warm relationships, suggests re-engagement angles and drafts thoughtful check-ins or value-add follow-ups.
Brand Messaging Analyst
Runs SWOT, spots positioning gaps, sharpens market language and turns strategy into repeatable brand messages.
Research Analyst
Does deep research on markets, prospects, competitors, sectors and accounts so the human can make better calls.
The setup sequence I would use
01
Choose the ecosystem
Select the model and platform the client already trusts or works in daily.
02
Gather training Data
Collect written content, offer details, case studies and tone examples. = real / raw 7 hybrid data
03
Run deep research
Create a strategic picture of the business, audience and market. = synthetic data
04
Create the coworker
Build the role-specific AI with clear instructions, boundaries guradrails and outputs.
05
Deploy, Test & Repeat
Use set of coworkers for leads, outreach, re-engagement and messaging experiments.
Fourth Born demo
Start with the project, not the prompt
A Project inside your LLM. is ….
Trained on knowledge & Context and giving parameters to work
= An AI Coworker
Why it matters
  • Trained vs Generic
  • Ability to fine tune its memory
  • Agent mode abilities
  • Agent training data
Inputs
  • Business DNA and tone
  • Marketing Materials
  • ICP examples
  • Client Experiences
  • Offer stack and next-step CTA
Outputs
  • Target lists and lead rationales
  • Warm intro or outreach angles
  • LinkedIn messages and email drafts
  • Content ideas matched to target personas
Demo step 2
Use deep research to build business intelligence
1
Business snapshot
Clarify offer, audience, differentiators, proof points and likely perception in market.
2
Market signals
Find competitor themes, unmet needs, repeated buyer pains and gaps in messaging.
3
Actionable output
Turn research into prospect criteria, brand angles, nurture ideas and content hooks.

Deep Research is designed for in-depth, multi-step research tasks that synthesise multiple sources into a documented report rather than a quick answer.
Beyond outreach: SWOT and positioning
SWOT
Use AI to organise strengths, weaknesses, opportunities and threats, then test which themes should shape brand messaging.
Market gap
Use research to find where the current market language is generic, overused or unclear, then build sharper differentiation.
Message refresh
Turn insight into clearer offer language, proof-led positioning and content themes that resonate with real buyers.
Human role
AI can analyse and draft; the human still decides what is true, ethical, commercially smart and on-brand.
Call to action
In September, we build yours
Define
Map the real business development role and the tasks worth supporting.
Train
Create the business DNA, instructions and guardrails that make outputs usable.
Deploy
Build the coworker workflows for research, outreach, nurture and messaging.
Next Capabilities of your LLM
Q&A — Ask Me Anything

🙋 No question is too basic.

The only bad question is the one you leave this room with.


Let's move from simply chatting with AI and start delegating real work to your trained Co Workers