Library
News, white papers, articles, and resources from our team on federal technology, AI, data security, and delivering for our clients.
Tech Note 1: TIBCO to Pega, Real-Time Migration
A working proof that a business analyst can move an application off TIBCO and onto Pega, using Alchemist AI Pro™ to bridge two platforms with no direct migration path between them.
Journey Through Alchemy SDLC™ (Part 4): Finding the Rhythm
Getting comfortable with the repeatable Final Mile process - and learning why knowing what comes next changes everything.
Inherited Blind Spots Part-3
Generation capacity has risen dramatically, while human review capacity is still where Fagan measured it in 1976. An AI auditor narrows the aperture cheaply, but only if the unflagged items can be trusted. Otherwise the program buys the compute and then asks the reviewer for more hours anyway.
Inherited Blind Spots Part-2
A same-lineage AI auditor that flags nothing has told the reviewer nothing, because unflagged silence carries no information. The real measure of an audit is not how many findings reach the reviewer's desk, it is how many pages a person must read personally before signing. Only a cross-lineage audit narrows that aperture.
Beyond FIAR: A Case Study in Enterprise Knowledge Engineering
Every organization must transform operational activity into trusted evidence. Using the Air Force L19 inventory reconciliation report as a case study, this paper shows how Enterprise Knowledge Engineering shifts audit work from assembling evidence after the fact to producing it continuously, so experienced auditors spend less time gathering evidence and more time evaluating it.
Low-Code at Enterprise Scale
Low-code platforms can expand delivery capacity faster than an organization can govern a growing application portfolio. Sustainable scale depends on clear decision rights and ownership. Review depth should follow consequence so governance protects enterprise interests without becoming a routine source of delay.
Journey Through Alchemy SDLC™ (Part 3): Keeping the XO on Course
What the Final Mile is teaching me about cloud testing, purposeful templates, and keeping AI focused on the work that matters
Enterprise Modernization Beyond Digital Engineering - Part 2
The first paper in this series introduced Enterprise Knowledge Engineering (EKE), a way of evaluating whether the reasoning behind a decision survives the trip from someone's head into a requirement, a line of code, or a training manual. This paper follows one maintenance observation from Air Force Sustainment Center MRO modernization work as it moves through engineering, planning, supply chain, software, and training, and shows where EKE's three evaluation layers show up inside work organizations are already doing.
Inherited Blind Spots Part-1
Independent cross-vendor review with human disposition authority is the minimal defensible standard for AI-assisted audit. Alchemist AI Pro™ operationalizes that standard.
Governance First
ACC3's internal work points to the need for a governed delivery path once an Alchemist AI Pro™ package has been reviewed. In one Alchemy SDLC™ effort, feature-level links remained intact throughout delivery. A separate human-led project kept no comparable record.
Journey Through Alchemy SDLC™ (Part 2): Read the Output
Final Mile setup, early mistakes, and learning to pay attention to what the tools—and my XO (the first officer)—are actually telling me.
The Estimate Ships With the Build
How Alchemist AI Pro™ turns every estimate into a reproducible, version-controlled computation — with the AI Pro CRM rebuild as the worked example, receipts included.