Conway’s Law holds systems reflect structures of the organizations that build them. AI systems simply make that reflection louder, faster, and harder to ignore.
Cost of Delay (CoD): Financial impact of time
Time has a cost. Delay is a financial, but time you will never make back. Those that quantify delay identify time …
5 governance model mistakes
A company does not rely on a single, overarching governance model. Instead, several governance structures are tailored to different company functions, …
Data fabric and AI for post-merger success
Unlike traditional integration methods that focus primarily on technology, AI and Data Fabric solutions take a holistic approach to integrate people, data, and process. Employees can access real-time data without waiting for systems to sync, driving more agile business operations.
Now the total cost of integration drops dramatically and that leaves your organization free to reinvest those savings into growth initiatives. This approach empowers your team to take charge of the post-merger process without being weighed down by outdated systems.
Artificial Intelligence merger revolution
Mergers fail up to 90 % of the time because integration collapses under complexity. Artificial Intelligence changes that math. From due diligence to culture alignment, AI tools enable seamless insight across systems, data, and people. The result: faster integration, fewer blind spots, and measurable returns that redefine what success looks like in M&A.
Artificial Intelligence for merger rationalization
The playbook for post-merger profit begins with streamlined operations: rationalization. The investment plan will merge the target company and merge multiple …
Experience is the first change signal
Customer and employee experience reveal where change creates value, waste, delay, and the need for business transformation.
Machine Learning: The new corporate crush
Machine learning has replaced “big data” as the corporate buzzword du jour. Beyond hype, machine learning can automate predictions, detect fraud, and personalize experiences. But when organizations rush to adopt without understanding what they teach their machines, they risk automating bad decisions at scale. Machine learning reflects the culture behind its data: disciplined thinking leads to smarter outcomes, while bias and bureaucracy only accelerate confusion. The real differentiator is not who has the smartest machine—but who still has people capable of asking why.
Interview for experience
Change rarely arrives as a calendar invite. It shows up as a customer complaint, a missed handoff, a contract that moves too slowly. Leaders who interview for experience hear what their people already know.
Apple’s technology formula
Too often there is a chasm between the technology design and the user need. Technology alone is not enough. Whether a business area …
Dumb, data-driven marketing decisions
Dumb, data-driven decisions happen when numbers have no context and people have no confidence. Who? How? and So now what? improve the odds.
When innumerates run the asylum, you, your customers, and your business miss context and transparency to interpret intent.
Subjective communication objective
Successful communication inspires action and is clear to others what needs to happen to meet that objective.
All communication faces daunting odds to reach each person, intention intact. Perception, bias, and noise lay between intent, action, and reaction.
To succeed in the communication obstacle course against intent, you need to make clear how to make it happen.
Reengineering marketing
New conditions demand new business management strategy. Technology enabled a disruption greater than any department or team level at a company can solve.
Customers severed the business message and took control of marketing channels.
Media lost privilege, marketers lost their minds, business lost their playbook, and customer’s rewrote the rules of engagement.
We need to reengineer marketing from the outside in and then align people, process, and technology from the inside out.
Inbound campaign project checklist – Excel
An inbound marketing campaign is a project that requires multiple points of interaction from concept, strategy, design, art, content and copy creation, and optimization to publishing, analysis, and campaign and lead nurture.
Where many of us might keep all the campaign components in their head, I sought to help manage this with a repeatable, scalable tool that helps all inbound project stakeholders manage, deliver, and analyze a strategic campaign.
This checklist lends order to the stakeholder and subject matter expert sign up, sign on, and sign off.
The project management SharePoint
Projects that understand what existed and what exists are both efficient and effective.
SharePoint has an incredibly rich out-of-the-box capability, but too many times the project team does not know what is capable with SharePoint.
With these self-paced, training links provide an overview of what could be to collaborate, search, publish, and file.
Project portals need to meet user objective, not IT administrator needs. More people should reject the SharePoint designer, not the SharePoint capability.
Company social media strategy reflects organization culture — engagement
A company that does not engage their market lends little confidence they engage their employees. A persona-driven strategy identifies characteristics through insight, data, and feedback to develop pertinent images of an ideal customer’s goals, needs, and objectives.
Social media reveals organization culture through more transparent ways than any HR engagement program.
What people want, may not be what you want to say. That gap is more realistically a chasm.
Systems as a current challenge
Systems theory and systems thinking relies on interface, feedback, organizational goals, input, throughput, output, differentiation, and integration. Thinking in systems means no change can happen without effect on other actors in the system.
When thinking through solutions, it seems we forget a team, a department, or a division is a part of a larger system. If you think in problem solving mode, then your diagnostic needs to account for undesirable behavior characteristics are part of the system structures that produce them.
Heretic’s Guide to Best Practices by the book
A look at what other’s have done to achieve success certainly offers a chance to avoid the aches and scrapes when …














