The premise
Certificates describe study.
These scenarios show operating judgement.
Certificates show what I've studied. They don't show what I can build. This is a small, growing set of synthetic, illustrative scenarios, each one based on a real commercial problem I've solved earlier in my career, rebuilt to show how I'd approach it now, with AI doing the heavy lifting on speed and consistency.
The judgement in each scenario is the same judgement behind my actual track record. The leverage is new. Nothing on this site uses real client, employer or company data; every scenario is clearly marked as synthetic.
Field notes
Five commercial systems,
made visible.
A synthetic company focused on partnership growth: one acquisition system, viewed from inbound qualification through to outbound prospecting.
SageWork: Partnership Lead Scoring, Then and Now
Scoring and routing inbound employer interest used to depend on which rep picked it up, and how much time they had. Here's the same framework, rebuilt to score, route and draft a first response in seconds.
Open systemSageWork: AI Prospecting Agent, Then and Now
Fresh external data used to sit in the CRM until a rep had time to research and personalise outreach. Watch the same judgement, rebuilt as an agent that checks for duplicates, researches, qualifies, and drafts a full multi-channel sequence in seconds.
Open systemA second synthetic company: one GTM system, viewed from strategy through to expansion.
Nodal: AI-Enabled GTM Operating Plan
Choose the right AI workflows, make accountability explicit, and turn interest in new tools into a measured 90-day operating plan.
Open systemNodal: Forecast Review: Evidence to Action
Read the evidence beneath pipeline stages, score the confidence behind the number, and focus action where it can still change the quarter.
Open systemNodal: Customer Expansion & Renewal Signal
Combine product adoption and relationship evidence to decide whether an account needs protection, recovery or an expansion motion.
Open system