PRACTICES
TECHNOLOGY TRANSITIONS ARE HARD. QO TAKES OWNERSHIP.
Technology rarely fails for lack of imagination. The challenge is moving from what exists today to what operators need tomorrow.
QO owns that transition — leading defined technical workstreams, proving new approaches against real systems, and turning new requirements into executable paths from definition through implementation.
Post-Quantum Migration & Cryptographic Resilience
Safely migrate the cryptography underneath mission systems.
Cryptography is embedded throughout applications, infrastructure, devices, identities, protocols, commercial products, and external dependencies. As a result, migration is more than an algorithm-replacement exercise. It’s an exercise in mission endurance and ongoing operational agility.
QO identifies cryptographic dependencies, prioritizes the ones that matter most, and leads migration and maintenance while managing operational risk and preserving continuity.
QO’S POINT OF VIEW
Inventory isn’t migration.
Knowing where cryptography exists is only the beginning. Migration requires understanding operational consequences, dependencies, interoperability, sequencing, acquisition constraints, and what happens when systems cannot all change at once.
QO helps organizations become quantum-safe while keeping essential services running, protecting sensitive information, and avoiding preventable outages or expensive rework. We design and validate transitions around the systems customers rely on — so new cryptographic requirements strengthen mission resilience instead of introducing new operational fragility.
Migration Workstream Ownership
Provide technical leadership and specialist engineering teams to execute defined PQC migration scope inside larger cybersecurity or modernization programs.
CAPABILITIES
Cryptographic Discovery & Inventory
Identify cryptographic use across systems, applications, infrastructure, products, protocols, and dependencies.
CBOM & Dependency Analysis
Understand not only which cryptographic assets exist, but what depends upon them.
Mission-Risk Prioritization
Determine what must migrate first based on mission consequence rather than raw asset counts.
Migration Strategy & Wave Planning
Turn inventories and dependencies into executable migration sequences and roadmaps.
Crypto-Agility Architecture
Design architectures and evaluate products and services that make future cryptographic changes less disruptive, less costly, and easier to operate.
PQC Pilots & Testing
Prove migration approaches against real systems, interoperability constraints, and operational requirements.
Acquisition & Vendor Transition
Translate migration needs into requirements, vendor expectations, evaluation criteria, and procurement strategy.
Operational Continuity & Migration Validation
Define acceptance criteria, rollback paths, and continuity checks; validate performance and interoperability so cryptographic changes can enter service without turning every update into a new migration program.
AI Mission Assurance & Agentic Security
Prove intelligent systems can perform the mission — and control what autonomous systems are allowed to do.
A compelling AI demonstration is not evidence that a system is ready for consequential work.
QO evaluates AI-enabled capabilities in the context where they will actually operate: the mission impact, user adoption, failure modes, consequences, authorities, dependencies, and adversaries surrounding the technology.
As AI systems become agents capable of taking actions — not simply generating outputs — mission assurance and cybersecurity increasingly become intertwined.
QO’S POINT OF VIEW
Test the mission impact, not just the model’s capabilities.
Benchmarks and model scores matter, but mission operators ultimately need different answers:
- Can the system reliably perform this task?
- How does it fail?
- What happens when it fails?
- What can it access?
- What actions can it take?
- When must a human intervene?
- What evidence justifies deployment?
The result should be a clear decision about operational use, with actionable remediations, human oversight, and evidence that the capability improves the mission — not simply a better benchmark score.
AI Assurance Workstream Ownership
Provide specialist teams that own defined TEVV, assurance, or agentic-security scope inside larger AI programs.
CAPABILITIES
Mission-Specific AI Evaluation
Translate real operating requirements into meaningful mission impact evaluation criteria.
Test, Evaluation, Verification & Validation
Design and execute TEVV around real mission behavior and consequences.
AI Procurement Evaluation
Help organizations compare products using evidence relevant to operational use rather than vendor demonstrations.
Adversarial Testing & Red Teaming
Test behavior under manipulation, unusual conditions, malicious input, and failure scenarios.
Failure & Consequence Analysis
Connect model and system failures to operational consequences, recommend remediations, and design and deliver them.
Agent Identity & Authorization
Define how autonomous systems identify themselves, what authorities they receive, and how to achieve enterprise governance and visibility.
Tool, Data & Action Boundaries
Understand and control what agents can access, change, invoke, or execute.
Continuous AI Evaluation
Determine whether performance and risk remain acceptable as models, data, tools, and operating environments change.
Agent Swarm Threat Detection & Defense
Develop visibility into coordinated agent activity, test defenses against agent swarm attacks, and implement detection, rate limits, isolation, and response controls to protect mission systems before an attack scales.
Continuous Cyber Assurance & Evidence Automation
Make cybersecurity continuously provable.
Modern systems change continuously.
Their security evidence often does not.
Organizations still spend enormous effort assembling screenshots, spreadsheets, documents, attestations, control narratives, and point-in-time evidence to demonstrate the security state of systems that may have changed before the package is even complete.
QO helps turn security evidence into infrastructure and paperwork activities into real cyber posture improvements.
QO’S POINT OF VIEW
Systems should produce the evidence required to trust them.
Security and compliance should increasingly be derived from authoritative, machine-readable evidence generated by the systems themselves, in real time and on demand.
That creates a path from periodic documentation toward continuous cyber assurance and, where appropriate, continuous authorization.
QO makes assurance a routine operational part of the system. We develop tooling and pipelines that combine headless AI workflows, API integrations, schema-driven code generation, reusable control templates, and CI/CD checks to create and maintain assurance code.
Reviewed, tested assurance code runs alongside the systems it describes and feeds traceable evidence into a central documentation repository. This creates a continuously verifiable security posture: teams can detect control drift, prioritize and validate remediation, and support authorization decisions from current system evidence instead of reconstructing assurance through periodic paperwork exercises and assuming security remains intact between assessments.
Cyber Assurance Workstream Ownership
Provide specialist engineering teams to own evidence automation, continuous authorization, and related cyber-assurance scope inside larger security programs.
CAPABILITIES
Cyber Evidence Architecture
Map cybersecurity decisions to the evidence required to support them.
Automated Control Testing
Continuously evaluate controls where authoritative technical evidence enables automation.
Evidence Pipelines
Collect trusted security evidence from systems, platforms, identities, software, and dependencies.
Compliance-as-Code & Policy-as-Code
Translate appropriate requirements and policies into executable, machine-evaluable controls that automate testing and evidence collection.
Machine-Readable Security Artifacts
Support structured evidence and automation approaches such as OSCAL.
Continuous Authorization & cATO Enablement
Build the evidence, decision infrastructure, and procedures required to move toward ongoing authorization.
Software, Workload & Agent Identity
Establish trustworthy identities beyond human users.
SBOM, CBOM & Provenance Integration
Connect component, cryptographic, supply-chain, and provenance evidence to assurance decisions so teams can identify affected systems, prioritize remediation, and demonstrate what remains trustworthy as dependencies change.
Assurance Code & Pipeline Engineering
Build tooling that uses headless AI workflows, API integrations, schema-driven generators, reusable control templates, and CI/CD checks to produce reviewed, tested assurance code. Embed it in system delivery and operations, with traceable evidence feeding the central documentation repository.
Platform Exit & Consolidation
Preserve what matters. Remove what doesn’t. Cut excess costs.
Technology portfolios tend to sprawl.
As a result, organizations end up supporting overlapping applications, expensive SaaS products, aging COTS platforms, duplicated workflows, unnecessary licenses, unresolved security vulnerabilities, and critical business rules trapped inside systems they would otherwise prefer to replace or retire.
QO helps organizations determine what should survive, what should consolidate, and what should disappear — and then execute the transition without losing essential capabilities.
QO’S POINT OF VIEW
Not everything needs to be modernized.
The goal is not to rebuild every application using newer technology. Sometimes the right answer is to retain or retire it; sometimes five platforms should become one, with more streamlined and impactful business logic.
With today’s tooling, important workflows can be extracted and migrated while the original platform disappears entirely. QO starts with the mission logic — not the target technology — to ensure that the mission service is always delivered, irrespective of the technology platform of the day.
QO preserves the service contract between the mission and its users: the essential rules, data relationships, workflows, and operational outcomes. We make those requirements explicit and validate them throughout the transition, so the mission can keep delivering its service without becoming dependent on another platform it cannot afford to leave.
Platform Exit Workstream Ownership
Provide specialist teams to evaluate platforms, make recommendations aligned to mission priorities, and execute defined consolidation, takeout, or transition scope.
CAPABILITIES
Platform & Portfolio Rationalization
Determine where capabilities, platforms, costs, and workflows overlap, as well as opportunities for consolidation.
Business Logic Discovery & Extraction
Identify workflows, rules, relationships, and essential behavior that must survive transition.
SaaS & Platform Takeout
Exit strategically undesirable, constraining, redundant, or unnecessarily expensive SaaS/platform dependencies while preserving required capability.
Application & Platform Consolidation
Reduce duplicated systems, functionality, licenses, and operating effort. Consolidate around the capabilities that serve the mission, streamline business logic, and validate that essential workflows and data relationships survive.
Dependency Analysis
Understand what must change — and what might break — before removing a platform.
Retain / Retire / Consolidate / Replace / Rebuild Decisions
Advise on deliberate portfolio decisions grounded in mission value, cost, dependencies, and transition risk — then execute the justified changes instead of assuming everything requires modernization.
Target Architecture & Transition Design
Define where preserved capabilities should live after exit.
Acquisition & Vendor Transition Strategy
Address contractual, licensing, procurement, and supplier implications of platform changes.
Across all four practices
Capture & Win Strategy
Differentiate the solution. Strengthen the case to win.
QO develops differentiated win themes, mission-first technical solutions, and creative acquisition strategies that deeply resonate with customers and improve the probability of win.
We connect customer priorities, technical architecture, evaluation evidence, and acquisition decisions — helping government define an executable path and industry build credible, competitive proposals.
QO’S POINT OF VIEW
The biggest risk is blending in.
If an evaluator could swap your company’s name for a competitor’s without noticing, the proposal has not established a reason to choose you. Generic claims, which are increasingly easy to generate with AI, leave the customer without a defensible basis for selection.
Differentiation starts with understanding what your competitors can credibly claim and where the customer is hurting, in their own words. QO turns that insight into win themes, mission-first solutions, and measurable evidence that make your advantages clear and mission impact memorable.
The work begins before the RFP, while requirements, evaluation criteria, and acquisition approaches are taking shape. We connect our unique combination of mission, technical, and acquisition perspectives to build a case evaluators can defend and a plan delivery teams can fulfill. That is how we help partners win, not just deliver.
CAPABILITIES
Customer & Mission Requirements Analysis
Translate the competitive landscape, customer priorities, operational constraints, and emerging requirements into a clear basis for compelling solution development, proposal planning, and distinctive competitive positioning.
Win Themes & Competitive Differentiation
Develop evidence-backed win themes that connect technical strengths, partner contributions, and delivery credibility to the outcomes the customer values.
Mission-First Solution Architecture
Shape technical solutions, alternatives, and implementation approaches that address the mission requirement and can be evaluated, acquired, operated, and sustained with high customer confidence.
Acquisition Shaping & Evaluation Strategy
Design acquisition approaches, evaluation criteria, market research, pilot structures, product distribution, and vendor transition expectations that make technical differentiation visible and actionable.
Capture & Proposal Strategy
Align opportunity shaping, competitive analysis, solution narratives, and proposal evidence around a differentiated and executable path to customer value.
Market Entry & Partner Strategy
Evaluate operational fit, shape federal go-to-market and account approaches, and identify partnerships that strengthen the solution and its path to adoption.
START A CONVERSATION
LET’S TALK ABOUT YOUR CHALLENGES.
Working on a difficult technology transition, new requirement, or defined technical scope or workstream?
Tell us what you’re trying to accomplish, what’s making it difficult, and where QO might fit.