What Should Survive an Acquisition?
Part 1 explains what an acquisition can erase by accident and the five choices to make before consolidating.
Article series
Integration Without Erasure
Each issue comes in two parts. Part 1 explains the problem and the choices it creates. Part 2 shows how I use and prompt AI to help people work through it.
Two parts, one problem
Understand the problem. Then put AI to work on it.
Part 1 explains the problem and the choices it creates. Part 2 shows how I use and prompt AI to gather evidence, build the plan, protect what matters, and check the result.
Issue 1
Understanding what survives before consolidation begins
Integration Without Erasure | Issue 1, Part 2: How AI Can Help You Consolidate What Survives an Acquisition
Part 2 shows how I use and prompt AI to identify what remains, check the evidence, build the integration map, and keep the final decisions with people.
Issue 2
Repairing handoffs without flattening necessary boundaries
When Is a Silo a Wall, and When Is It a Safety Boundary?
Part 1 distinguishes an obstructive silo from a safety boundary, then follows the handoff customers actually feel.
How I Use AI to Find the Broken Handoff Without Opening Every Door
Part 2 uses a familiar subscription-support example to show the access boundary, handoff-comparison prompt, interface map, and Business Intelligence check.
Issue 3
Making integration debt visible before growth adds another layer
Growth Is Not Integration
Why acquisition-led growth can outrun integration capacity, leave customer and security seams unresolved, and hide the unfinished work from leadership.
How I Use AI and Business Intelligence to Find Integration Debt Before Customers Do
How I use approved evidence, AI-assisted comparisons, and Business Intelligence to identify and measure integration debt.
Issue 4
Preserving valuable vendor expertise while removing the single point of failure
When Vendor Safety Becomes Concentration Risk
How leaders can preserve valuable vendor expertise while finding concentration risk across products, people, support paths, security, and customer promises.
How I Use AI and Business Intelligence to Map Vendor Dependency Before It Reaches the Customer
How I use approved evidence, AI, and Business Intelligence to show where vendor change could affect customer promises, and test another workable path.
Issue 5
Bring the catalogs together without losing the customer promise
Integration Without Erasure | Issue 5, Part 1When Two Service Catalogs Become One
A matching catalog name can hide different pricing, delivery work, support obligations, and security dependencies. Start with the customer promise.
Integration Without Erasure | Issue 5, Part 2How I Use AI to Map Offers, Exceptions, and Customer Commitments
How I use approved evidence and practical prompts to compare offers, find exceptions, build a human-approved integration map, and measure the result through Business Intelligence.
Why two parts?
Part 1 explains the underlying problem, the choices it creates, and what leaders should understand before they change the system around it.
Part 2 shows how I use and prompt AI to gather evidence, compare what exists, help build the next step, and keep the final decisions with accountable people.