Citizen-service copilots
Retrieval-grounded agents that answer from the actual regulation, fee schedule, and process — in Arabic and English — with citations and a human handover for anything material. No hallucinated entitlements.
We build AI automation for UAE government entities, GovTech vendors, and smart-city programs — the teams delivering on the UAE National AI Strategy 2031 and the Dubai Universal Blueprint for AI. Citizen-service copilots, document automation, and bilingual service agents that hold up to public scrutiny.
A citizen-facing agent that hallucinates a fee, a deadline, or an eligibility rule is not a glitch — it’s a public-trust event. The bar for government AI is higher than enterprise, and the work that survives it is grounded, bilingual, cited, and auditable by design.
We build retrieval-grounded service copilots that answer from the actual regulation, document-processing pipelines that clear application backlogs, and the Arabic-English agents that serve residents in the language they choose — with a human-review path for anything material.
Finyki is remote-first, working GST hours. We align deployments to the UAE’s AI ethics guidance and the Dubai AI principles, default to data-residency in-country, and scope every government engagement with the procurement and security review built in.
Every engagement scopes the data boundary, the bilingual requirement, and the public-accountability bar first — then we build.
Retrieval-grounded agents that answer from the actual regulation, fee schedule, and process — in Arabic and English — with citations and a human handover for anything material. No hallucinated entitlements.
Intake, classification, and extraction that clears application and permit backlogs — structured output, exception routing to a human, and a full audit trail for every decision.
Copilots that let officers query policy, precedent, and procedure across departments — permissioned to the access matrix your security team enforces, not a prompt.
Arabic-English public-information content and awareness-campaign systems — on-message, on-brand, and produced at the cadence a national program demands.
Dashboards that show service performance, backlog, and citizen-satisfaction signals in real time — the operating picture a director runs the mandate from.
Model cards, eval harnesses, bias testing, and the assurance documentation a public-sector review and the Dubai AI principles require — shipped as part of the build, not after.
The demo ignored Arabic. An English-only service agent fails half the residents it’s meant to serve. Bilingual is a design constraint from day one, not a phase two.
No grounding, no citations. A generative answer with no source is unusable in government. We build retrieval-grounded systems where every answer traces to the regulation it came from.
Procurement and security were an afterthought. A pilot that can’t pass the security review never reaches production. We scope the review in — data residency, access control, and assurance docs from the start.
Nobody owned drift or accountability. Policy changes; models drift. Without monitoring and an owner, a service that worked in spring is a complaint in autumn. We ship the monitoring plan with the system.
Built the bilingual citizen-service copilot grounded on the entity’s regulations and fee schedule, with a human-review path and full audit logging — deflecting routine enquiries while keeping accountability intact.
Shipped the application-processing pipeline that clears permit backlogs — classification, extraction, and exception routing — with the assurance documentation the program’s governance board required.
45 minutes, free. We find the right first lever — no slides.
One page: the metric, the plan, and the cost in AED.
Working output by week two, eval’d against real data.
Documented and owned by your team. Retainer optional.
Yes. We design deployments to the UAE’s AI ethics guidance and the Dubai Universal Blueprint for AI — grounding, bilingual access, human oversight for material decisions, and the assurance documentation a public-sector review expects.
Yes — bilingual is a default design constraint, not an add-on. Agents answer in the language the resident uses, grounded in the same source of truth.
In-country residency by default. We deploy into the entity’s approved cloud or on-prem environment, under its IAM, with no data leaving the boundary and no training on government data.
Both. We deliver directly for entities and as the AI build partner behind GovTech vendors serving the public sector.
We scope it in from week one — data classification, access control, assurance docs, and the security review path — so the pilot can actually reach production.
Forty-five minutes, your agenda, no slides. You’ll leave with a clear read on the right first move for your Government & Smart City team — and a rough shape for the engagement if there is one.