Where should an organization start with AI?

With one or two high-volume workflows that have a clear owner and a measurable baseline, such as customer service or document processing. We rank candidates by value, feasibility and data risk, then build the first one to production.

Do your AI agents work in Arabic and other languages?

Yes. We build agents in English, Arabic (including Gulf dialects and Arabic-English code-switching) and other languages, and we evaluate quality in each language separately before launch.

How do you handle data privacy and AI regulation?

We map the personal data each use case needs, its lawful basis and where it is processed, then design masking, access control, logging and human oversight for the rules that apply to you, such as GDPR, HIPAA, the PDPL or the EU AI Act. Your legal team keeps final sign-off.

Can the AI run in our own cloud or region?

Yes. We deploy in your cloud account or chosen region, including in-country hosting where data residency is required, and confirm the architecture with your IT and security teams before building.

How long until we see results?

A well-scoped first use case typically reaches a limited production launch in about 90 days, with a baseline and a weekly metric so value is visible from the start.

Why Sofyrus instead of a large consultancy?

We are a product engineering firm with teams in Saudi Arabia, India and Australia. We build the agents, integrations and controls ourselves, so you get working software in weeks at a predictable cost.

AI TRANSFORMATION

Most AI pilots never reach production. Ours are built to.

Sofyrus builds AI agents, copilots and data platforms that run inside your workflows, with the evaluation, security and governance to scale them across markets and languages.

Book an AI Readiness Assessment See How We Deliver

11%

of organizations have scaled AI agents enterprise-wide (KPMG, 2026)

250+

software projects shipped

14+ years

of product engineering

WHAT'S CHANGING

AI now

Investment is everywhere; production at scale is rare. Sources: KPMG AI Quarterly Pulse (Q1–Q3 2026), KPMG Tech Report 2026.

11%

of organizations had scaled AI agents enterprise-wide in early 2026 (KPMG)

62%

of large US companies are building or deploying AI agents (KPMG, 2026)

49%

scaled back some AI initiatives because of cost (KPMG, 2026)

21%

of organizations worldwide use AI daily in operations (KPMG, 2026)

(PERSPECTIVES)

Five AI moves that separate production from pilots

WHAT WE BUILD

AI-first products we build

Working software in weeks, integrated with the systems you already run.

Multilingual customer service agent

Voice and chat agents that resolve requests in English, Arabic and other languages and hand off with full context. Moves resolution rate and cost per contact.

Voice AIMultilingual

Document intelligence

Extracts and validates invoices, contracts and government forms into your ERP with human review. Moves processing time and error rate.

AutomationERP

Operations copilots

Assistants for dispatch, warehouse and field teams that summarize exceptions and recommend the next action. Moves exceptions resolved per shift.

CopilotOperations

Enterprise knowledge assistant

Retrieval-based answers over your policies, contracts and procedures, with access control per user. Moves time to answer.

RAGKnowledge

AI platform and gateway

Shared model access, logging, cost control, evaluation and PDPL-aware data handling for every AI use case. Moves time to launch each new use case.

PlatformGovernance

Retail and loyalty AI

Personalized offers and churn prediction built on POS and loyalty data, drawing on our retail and restaurant platform work. Moves visit frequency.

RetailPersonalization

01 — IS THIS YOUR ORGANIZATION?

01 / 03

AI is on the board agenda. The first production win isn't.

For enterprises and fast-growing companies that have run AI experiments but have not yet put an agent into daily operations. A good starting point has an executive sponsor, a process owner, and access to the systems the workflow touches.

AI pilots stuck between demos, silos, and unclear data rules

An executive sponsor

Someone who owns the outcome and can unblock budget and system access.

A workflow with a baseline

Volume, handling time, and error rates you can compare before and after.

Data you're allowed to use

Clarity on what personal data is involved and where it may be processed under the privacy laws that apply to you.

02 — HOW WE DELIVER

02 / 03

Assess. Pilot. Govern. Scale.

Each step ends with evidence you can review, so AI earns its next budget instead of assuming it.

Readiness assessment

Prioritize use cases by value, feasibility, and data risk, then pick one pilot.

Production pilot

Build one agent against agreed acceptance criteria, with human approval on high-stakes actions.

Governance built in

Logging, access control and human oversight designed to fit frameworks such as the NIST AI RMF, the EU AI Act, HIPAA, SDAIA guidance and the PDPL.

03 — DELIVERY EXPERIENCE

03 / 03

AI and platforms running in production for our clients.

Our work spans healthcare, logistics, loyalty, payments and automotive, for clients in the USA, the Middle East and beyond.

Discuss your AI roadmap

Wehealthify / Healthcare voice

Voice agents for patient-reported outcome (PROM) workflows in Saudi Arabia.

Markaby / Logistics

Warehouse and logistics software for a Riyadh-based on-demand goods transport platform.

Mukafaat & Thankio / Retail and fintech

Clients include a Riyadh loyalty provider and a pay-at-table payments product from the Saudi Brothers group.

SOFYRUS DELIVERY FRAMEWORK

An AI program that proves value step by step.

Every stage answers one question before the next budget is committed.

Scroll to follow the plan

Delivery phase

01 / Discover

Map candidate workflows with business owners. Establish baselines for volume, time, cost, and errors. Recommend one pilot.

Phase 1 of 6

Delivery phase

02 / Design

Define agent responsibilities, permitted data, human approvals, language and channel requirements, and data-residency needs.

Phase 2 of 6

Delivery phase

03 / Connect & Build

Integrate with your ERP, CRM, or core systems through agreed access. Start with test data and demonstrate each allowed action.

Phase 3 of 6

Delivery phase

04 / Evaluate

Test accuracy, incorrect actions, language quality, handoff, and cost per completed task against agreed thresholds.

Phase 4 of 6

Delivery phase

05 / Launch

Roll out to a bounded group with named owners, monitoring, rollback, and audit logging in place.

Phase 5 of 6

Delivery phase

06 / Operate & Scale

Review results monthly and expand to the next workflow only when the first one meets its targets.

Phase 6 of 6

Delivery phase

01 / Discover

Map candidate workflows with business owners. Establish baselines for volume, time, cost, and errors. Recommend one pilot.

Phase 1 of 6

Delivery phase

02 / Design

Define agent responsibilities, permitted data, human approvals, language and channel requirements, and data-residency needs.

Phase 2 of 6

Delivery phase

03 / Connect & Build

Integrate with your ERP, CRM, or core systems through agreed access. Start with test data and demonstrate each allowed action.

Phase 3 of 6

Delivery phase

04 / Evaluate

Test accuracy, incorrect actions, language quality, handoff, and cost per completed task against agreed thresholds.

Phase 4 of 6

Delivery phase

05 / Launch

Roll out to a bounded group with named owners, monitoring, rollback, and audit logging in place.

Phase 5 of 6

Delivery phase

06 / Operate & Scale

Review results monthly and expand to the next workflow only when the first one meets its targets.

Phase 6 of 6

RELEASE CRITERIA

Four practical questions guide the release decision.

Agree what success means before we build.

Measure

Business value

Evidence to review

Time, cost, or revenue impact measured against the baseline agreed at the start.

Measure

Safe operation

Evidence to review

Permission checks, human approval on high-stakes actions, and audit logs for every agent decision.

Measure

Data compliance

Evidence to review

Personal data handling, storage location and retention reviewed against the privacy and sector rules that apply, such as GDPR, HIPAA or the PDPL.

Note

Targets are agreed with your team and checked against your current baseline.

A CONCRETE WAY TO START

Choose the engagement that matches where your product is today.

Three steps from strategy to production AI.

Most organizations start with an AI Readiness Assessment. You review priorities, risks, and a pilot proposal before committing to a build.

DEFINE THE OPPORTUNITY

AI Readiness Assessment

A prioritized use-case map, data and integration review, governance gaps, and a costed pilot proposal. Written scope and deliverables Recommendation to proceed, revise, or stop

Request an assessment

PROVE THE VALUE

Production Pilot

One AI agent or workflow, built and tested against agreed criteria with your team. Acceptance criteria agreed in advance Languages and channels as required

Discuss a pilot

SCALE WITH CONTROL

AI Program Delivery

A delivery team that rolls out more workflows, monitoring, and governance across the organization. Ownership and reporting agreed in advance Changes evaluated before release

Discuss a program