We design and build production-Grade AI systems for government — formally verified, post-quantum hardened, sovereign by architecture. From agentic service portals to compliance engines, every engagement delivers measurable capability, not slide decks.
Where to start
Not sure where AI fits in your agency? Here is how every successful government AI programme is structured — and where Intellica enters.
Data lives in silos. Vendors sell chatbots as AI. Procurement teams can't evaluate real capability. Staff have no framework to supervise automated decisions. None of this is your fault — the market is designed to obscure it.
We are not a software vendor. We are the architect who tells you exactly what to build, what to buy, and how to hold vendors accountable — then build it with you or hand off a blueprint a team can execute immediately.
Data stays in-country. Costs drop 60–85% vs commercial SaaS. AI decisions are auditable by law. Staff know how to supervise the systems. And you are not locked into a vendor whose incentives differ from yours.
We map your data landscape, current AI readiness, and highest-value use cases. You get a clear picture of where you stand and what to do first.
Sovereign infrastructure plan, integration blueprint, governance framework, and vendor procurement spec — all before a line of code is written.
One focused use case built to production quality — a document agent, case triage system, or regulatory summariser. Proves ROI before full commitment.
Executive briefings for leadership, engineering bootcamps for technical staff, oversight training for operators. Your team runs it — not ours.
Multi-agent expansion, agency-wide rollout, and ongoing architecture oversight. The pilot becomes the playbook. The playbook becomes the programme.
On-prem inference stacks, cross-agency data integration, legacy migration. The foundation everything else runs on.
Autonomous agents for citizen services, case triage, document drafting, and cybersecurity. Production-ready pilots in 4–8 weeks.
FOIA automation, precision health platforms, predictive urban management. Proven in production in Abu Dhabi and Singapore.
EU AI Act XAI frameworks, AI strategy roadmaps, LLM red-teaming, procurement advisory. Legally required from August 2026.
Executive workshops, engineering bootcamps, AI oversight training. Aligned to UAE federal mandates and Singapore NAIS 2.0.
Port digital twins, clinical decision support, sovereign HPC, AI-native tendering. Benchmarked against live deployments in UAE, South Korea, Singapore.
Commercial SaaS AI costs compound annually, data leaves your jurisdiction, and per-seat licensing scales against you. We deploy a self-hosted open-weight inference stack on your hardware — fully air-gapped, with API gateway, RBAC, and usage metering built in.
1,000-user agency at $30/seat/month = $360K/year recurring, no asset ownership, data leaves jurisdiction. Sovereign on-prem equivalent: $50–120K hardware one-time, zero per-user licensing. Break-even in 6–18 months.
Siloed ministry databases — HR, finance, policy repositories, case management — are the number one barrier to government AI. 41% of government AI programmes cite data integration as the primary blocker (Gartner 2025). We build the governed interoperability layer connecting them over a unified semantic API.
Paper archives, scanned PDFs, and legacy databases represent decades of institutional knowledge locked in formats no AI system can query. We accelerate migration using LLM-based extraction pipelines with human-in-the-loop review queues, converting unstructured estates into structured, queryable intelligence.
Full production agentic systems are $250K+ multi-month programmes. This is the correct entry point. We deliver a production-ready pilot on one targeted use case, with architecture designed to scale. The pilot pays for itself by proving ROI for the larger contract.
| Discovery & use-case scoping (3 days) | $3,240 – $4,140 |
| Data pipeline & RAG setup (5 days) | $5,400 – $6,900 |
| Agent build & tool integration (10 days) | $10,800 – $13,800 |
| UI, evaluation & hardening (5 days) | $5,400 – $6,900 |
| Documentation & handover (2 days) | $2,160 – $2,760 |
| Phase 1 pilot total | $23,760 – $38,640 |
Form-based portals generate abandonment, call centre overflow, and inequality of access. We replace them with an LLM-backed agent that handles natural language queries, navigates eligibility rules, and autonomously completes multi-step applications on behalf of citizens without human intervention for routine cases.
Manual case processing — permits, benefits, regulatory filings — consumes disproportionate staff time on decisions that are highly automatable. Our autonomous agent reads incoming case files, classifies type, routes to the correct team, drafts the initial recommendation, and flags anomalies requiring human review.
Legal and policy teams produce briefing notes and regulatory summaries from source documents too voluminous to read in full. Our agent reads court filings, legislation, and policy documents — producing draft outputs grounded in your agency's own knowledge base with full provenance tracking on every assertion.
Government networks are too large and dynamic for periodic manual pen-testing cycles. We deploy AI agents for continuous vulnerability scanning, automated pen-test execution, and threat modelling across government networks. Tied directly to the active US federal RFP closing June 24, 2026.
Freedom of Information requests consume disproportionate staff hours on ingestion, redaction, and response coordination. We automate the full pipeline — ingestion, classification, redaction, and response drafting — with secure document handling and compliance-ready audit logs. Live US RFP as of May 2026.
Population-level health intelligence requires integrating genomic, clinical, and environmental datasets that currently live in incompatible silos. We build the integration and analytics platform for population-level health analytics, early detection modelling, and targeted treatment routing — modelled on Singapore's National Precision Medicine Programme.
Traffic, utility grids, ambulance routing, and public safety run on reactive, incident-driven models built for a slower world. We deploy simulation and predictive models that shift agencies from reactive crisis response to proactive, anticipatory management — already operational in Abu Dhabi.
The EU AI Act is enforceable from August 2026. Gartner projects mandatory XAI governance in 70% of agencies by 2029. Every automated decision affecting a citizen must now be traceable, overridable, and auditable by law. We build the governance layer that makes your AI systems compliant — not as an afterthought, but as architecture.
EU AI Act: enforceable August 2026. All agencies deploying high-risk AI systems affecting citizens — benefits decisions, permit approvals, risk scoring — must have compliant oversight architecture by this date or face enforcement action.
| Discovery & stakeholder interviews (3 days) | $3,240 – $4,140 |
| Framework drafting (5 days) | $5,400 – $6,900 |
| Model cards & HITL protocol design (3 days) | $3,240 – $4,140 |
| Gap report & roadmap (2 days) | $2,160 – $2,760 |
| Framework design total | $10,800 – $17,940 |
The framework engagement scopes the build. XAI technical implementation — audit log system, override workflows, real-time explanation APIs — is a separate phase priced on system complexity. Typically $50K–$200K depending on number of AI systems in scope.
Most agency AI programmes fail not because of technology, but because they lack coherent sequencing, governance, and a vendor strategy that protects against lock-in. We scope, prioritise, and sequence your AI initiatives, define data governance, model lifecycle management, and sovereign compute strategy — drawing on live benchmarks from UAE, Singapore, and the UK.
Leading government AI programmes require structured adversarial testing before production deployment. We run structured red-team exercises against your deployed government LLMs using toolkits equivalent to Singapore's Project Moonshot, delivering benchmarked safety reports against 11 international AI governance principles.
The 2024 RFP template is obsolete in leading programmes. Agencies consistently fail to distinguish agentic AI platforms from sophisticated chatbots — a failure that costs tens of millions in locked-in contracts. We design structured, capability-tested procurement processes with TCO models, portability requirements, eval suites, and lock-in risk clauses.
IT directors and CIOs are making high-stakes AI procurement and governance decisions with frameworks built for a different era. This 2-day executive workshop gives IT leadership the vocabulary, mental models, and vendor-reading skills to make sound decisions — and positions your agency as sophisticated in every subsequent vendor negotiation.
Vendor dependency is the long-term AI risk for government. We build in-house engineering capacity through a 5-day hands-on technical programme covering LLM integration, RAG pipeline construction, agent orchestration, secure API design, and evaluation methodology. Curriculum built once, re-delivers at ~70% margin on repeat runs.
Singapore's NAIS 2.0 identifies bilingual talent — staff with both domain expertise and AI capability — as the defining strategic resource. UAE mandates AI training for every federal employee. This structured curriculum produces domain-proficient staff who can supervise, evaluate, and work alongside AI systems — targeted at non-technical government professionals.
Deploying agentic AI without training staff to supervise it inverts the risk — you gain automation liability without the productivity benefit. We equip government staff to supervise, audit, override, and escalate decisions made by autonomous AI systems, covering HITL mechanics, explainability interpretation, error detection, and escalation protocols.
Government procurement decisions — tender evaluation, financial due diligence, regulatory compliance review — remain largely manual despite being highly structured and well-suited to AI augmentation. We deploy an autonomous AI system supporting procurement decisions at the level already in production use by the UAE's Future Fit Seal programme.
Port operations are among the most data-rich, highest-throughput government-adjacent environments — and among the least optimised. We build AI-driven digital twins for port operations, integrating IoT sensor data, blockchain-based documentation, and autonomous routing. Busan Port is the 2026 production benchmark. Trinidad's port infrastructure is a direct regional opportunity.
Acute conditions — stroke, sepsis — are time-critical and diagnostically complex, producing outcomes highly sensitive to speed and accuracy of initial assessment. We deploy AI diagnostic tools with real-time clinical decision support integrated into hospital workflows. Active Canadian procurement (Saskatchewan) closes June 23, 2026.
National AI ambitions collide with foreign-owned compute — a strategic vulnerability that Singapore addressed with a $1 billion sovereign R&D compute commitment. We design and stand up national or ministry-level sovereign HPC infrastructure for AI workloads. Active Canadian federal RFP (Ontario) closes July 6, 2026.
Global procurement signal
Active procurement signals from national AI programmes, live RFPs, and regulatory mandates currently in force.
Why Intellica
Systems integrators manage vendors. We design the systems that make vendors accountable — and the architecture that makes them replaceable.
TLA+ model checking, Lean 4 theorem proving, Dafny deductive verification. Machine-checked proofs for the components where correctness is non-negotiable. Regulators can replay them. Auditors can inspect them.
ML-DSA-44, SLH-DSA, ML-KEM-768 deployed in live systems. Hybrid classical/PQC pathways. NIST FIPS 203/204/205. Government systems built today must survive tomorrow's adversarial compute. We make that the default, not an option.
We do not resell software, take referral fees, or hold commercial agreements with AI vendors. Every recommendation is determined entirely by your requirements and the best available sovereign alternatives.
DORA, EU AI Act Annex IV, PCI DSS 4.0, CEN/TS 18264:2026. Compliance architecture is embedded from the first diagram, not discovered at audit. This is the only approach that remains defensible under enforcement.
Complete ARC42/C4 blueprints, Architecture Decision Records, component contracts, deployment plans. No interpretation required. The architecture is the handover — your team implements, not translates.
We compress 18-month timelines using specification-driven AI meta-orchestration. Proof: a post-quantum compliance engine, a formally verified core banking platform, and a compiled agentic language — all built solo from scratch, in weeks.
Start the conversation
We will send you a complete architecture assessment within 48 hours. No cost for the first review. If it solves your problem — and it will — we discuss what engagement looks like from there.