People-first adoption
Skeptics engaged early, real operators
in the loop from day one.
Process automation and orchestration for complex operations across your agency.
Risk management, compliance frameworks and oversight systems built for federal mandates.
Custom AI solutions purpose-built for your stack and owned by your team.
Data analysis, pattern recognition and strategic foresight grounded in your sources.
Hands-on upskilling programs and AI literacy workshops for operators and leadership.
We help federal and local agencies simplify
the operational complexity of their core systems.
Trusted by teams doing mission-critical work:
The Amaya Design Lab (ADL)
helps government agencies with:

Build a structure that matches how your agency operates.
Map where information lives. Identify which source is authoritative.
Transparent, structured systems that capture
institutional knowledge before it walks out the door.


Everything we build gets documented, trained on, and transferred.
The goal is for you to not need us.
System handoff
Consultant leaves, system stalls
Full documentation, training, and capability transfer
Legacy modernization
80¢ of every IT dollar on maintenance
Targeted improvements within existing constraints
Workflow documentation
Processes live in people's heads
Mapped, documented, and repeatable
Vendor selection
Sales-driven recommendations, long lock-in cycles
Mission-based evaluation, agency owns everything
Decision support
Hours spent searching, re-confirming, re-asking
Clear deliverables, accountability in performance
Compliance reporting
Scramble before audits
OMB, FISMA, and NIST alignment from day one
Onboarding
Months of shadowing to learn the role
Documented SOPs and frameworks on day one
We assess, design, and deploy lightweight AI systems that enhance
existing operations and meet federal and local governance standards.
80¢
of every federal IT dollar goes
to legacy maintenance
40%
of the federal workforce
eligible to retire by 2030
$13.4B
federal AI investment
in defense alone
2
OMB mandates requiring
AI governance plans this year
Small teams, phased delivery, built for the people
who live with the system after we leave.
Skeptics engaged early, real operators
in the loop from day one.
IP, skills, and documentation
transfer at project close.
Targeted improvements rather
than multi-year rebuilds.
AI strategy and governance aligned with federal mandates (OMB, NIST AI RMF).
Knowledge architecture designed for
"show your work" decisions.
Policies, SOPs, and tickets reshaped
into traceable, AI-ready knowledge.
Transparent systems designed for IGs, GAO, and internal QA to inspect.
Practitioners stay on project, deliver in phases, and pause between options.
Training the trainers, building playbooks, and finding the champions.
Pieter Taselaar
Program Portfolio Manager
