- AI Opportunity Audit. We will run an AI maturity audit grounded in your real systems and operational constraints to pinpoint where AI can actually deliver ROI. The audit identifies execution gaps and disconnected automations that prevent AI initiatives from scaling.
- Build-vs-Buy Evaluation. We will evaluate core technology options using structured criteria that cut through hype, focusing on scalability and long-term cost curves. This gives you a clear decision framework that reduces vendor lock-in and helps prevent costly platform mistakes.
- AI Architecture Roadmap. We design a target architecture that maps to a 6-12 month execution plan. You will get a clear architecture built around your regulatory, scale, and business model requirements, replacing fragmented experiments with a structured plan.
- POC Feasibility Assessment. We scope POCs with success criteria and risk controls so pilots have a clear path to production. This is how you ensure a POC is engineered to reach production, avoiding the common failure modes tied to poor data, unclear ownership, and unrealistic expectations.
- Cloud-Agnostic Architecture. We will architect cloud‑agnostic AI infrastructure using vendor-neutral technologies. For companies trying to avoid hyperscaler lock-in, this keeps infrastructure flexible and cloud costs easier to control as workloads grow.
AI Architect as a Service
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LEAD AI ON A RETAINER
Get senior AI architecture leadership for one predictable monthly fee. You gain CTO-level direction and a dedicated execution team that keeps spend flat. Every architectural decision ties back to ROI you can defend in front of your board.
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OWN EVERY LINE YOU RUN
Take full ownership of the AI your team will operate for years. Each architecture decision arrives as a documented RFC, handed over through hands-on knowledge transfer. When the engagement ends, your engineers run and extend the stack independently.
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EMBED AI, KEEP YOUR CORE
Wrap your existing systems with production-grade AI agents. Each agent slots into a legacy workflow behind a governed API boundary that logs every tool call. Humans keep control of the decisions that carry real risk.
Why choose Devox Software?
What We Offer
Targeted Legacy Integration
Forget the multi-year vendor migrations that break your core operations. We modernize legacy monoliths by adding modern APIs around existing systems, from SaaS platforms to aging factory ERPs. We establish strict execution boundaries so AI agents and real-time data flows can run without interrupting production.
Fractional AI Leadership
Building an in-house AI team is expensive, and large consultancies often add scope creep, delays, and hidden costs. Our fractional AI architect model gives you CTO-level architecture leadership and a dedicated execution team on a predictable monthly retainer.
Documented AI Handoff
Traditional consulting often leaves internal teams with a black box they cannot maintain. We eliminate vendor lock-in by authoring detailed Request for Comments (RFCs) for every architecture decision and conducting hands-on collaborative knowledge transfers. Your engineers inherit clean documentation, maintainable models, and operational playbooks, so the system remains a company asset instead of another vendor dependency.
Measurable AI ROI
Enterprise buyers now want proof that AI products are real, measurable, and defensible. We build critical systems backed by deep evaluation frameworks like DeepEval. You get the architecture diagrams, API specs, and test evidence needed to prove the system works and can stand up to investor, board, or enterprise buyer review.
Compliance by Design
As AI and privacy rules tighten across the EU and the US, compliance needs to be built into the architecture from day one. We engineer every system from day one with built-in data anonymization, encryption, and audit trails. This helps prepare your SaaS product for SOC 2 and GDPR audits while reducing regulatory friction during enterprise procurement.
Grounded Data Foundations
Before any model work begins, we build a reliable data foundation around your actual business data. We engineer your datasets before model development starts, so AI outputs stay grounded in reliable business data.
What We Deliver
Services We Provide
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AI Strategy & Architecture
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Agentic Orchestration
- Agent Topology Design. We will design the right agent topology for your workflows, ensuring a coordinated system. Your agents stop working as isolated bots and start operating as a coordinated system built around your real workflows.
- Orchestration Framework. We will set up your orchestration layer using a production-ready engine, depending on your scaling, compliance, and latency constraints. This turns prototypes into observable production systems that can handle real enterprise edge cases.
- Model Routing Strategy. You will get a routing strategy that selects the optimal model for every task based on real-world business constraints, ensuring strong AI performance while controlling cloud costs.
- Human Review Boundaries. We will define human-review boundaries for decisions that require compliance checks or contextual judgment, supported by audit-ready logs and escalation paths. This is the balance most companies struggle to achieve; agents move fast, but humans stay in control of the decisions that actually carry risk.
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Production AI Systems
- Evaluation Harness. You will get an evaluation harness built using DeepEval and test suites to measure reasoning quality and failure patterns, providing a safety net of systematic testing that exposes weaknesses before they hit production.
- Grounding Controls. We will implement grounding controls that force models to rely on verified data and structured context instead of hallucinated assumptions. Outputs become more stable because they are grounded in your actual business data.
- Output Guardrails. We apply guardrails against critical output risks using policy layers, schema validation, and controlled decoding. You get safeguards that reduce the risk of unsafe, unverified, or noncompliant model behavior.
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AI Trust & Safety
- Agentic Threat Modeling. We will run agentic threat modeling using the OWASP Top 10 for agentic apps to identify goal hijacking and unsafe tool execution. Agent specific threat modeling gives enterprise buyers more confidence, especially when most vendors still overlook these risks.
- Prompt Injection Defense. You will get a multi-layered defense architecture against prompt injection, which makes your agents harder to manipulate through malicious inputs, unsafe documents, or adversarial API content.
- SOC 2/GDPR Audit Readiness. We will prepare SOC 2 and GDPR audit packages with full audit-ready documentation. This makes your AI stack traceable for regulators, insurers, and enterprise buyers.
- Model Transparency. You will get model transparency mechanisms, including traceable decision-path logging, which unlocks trust in agentic systems by letting stakeholders see why a model acted the way it did.
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Legacy AI Modernization
- Dependency Discovery. We will run AI‑driven dependency discovery to auto‑map your monolith, surface hidden couplings, and generate a modernization roadmap grounded in real system behavior.
- Strangler Migration. We will execute a Strangler Migration pattern to incrementally replace legacy components with modern services, without destabilizing production systems or disrupting revenue-critical workflows.
- Agent Workflow Integration. You will get AI agents embedded directly into your core enterprise systems with governed tool access, transforming legacy platforms into intelligent systems without a full rewrite and accelerating cross-departmental coordination.
- Model Lifecycle Management. We manage the full model lifecycle with MLOps practices aligned with SOC 2, GDPR, and NIST AI RMF expectations. This keeps AI systems stable over time and helps prevent silent performance degradation.
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Industrial AI Solutions
- Predictive Maintenance. You get predictive maintenance models that use equipment telemetry to forecast failures before they disrupt production.
- Digital Twin Planning. We will design digital-twin environments that simulate production lines, asset behavior, and process changes using real telemetry and operational constraints. This enables scenario testing without disrupting the factory floor, which matters when every hour of downtime is expensive.
- Computer Vision Inspection. We deploy computer-vision inspection systems that detect defects and enforce quality standards with sub-second latency. You will get a reliable inspection layer that replaces inconsistent manual checks and detects problems long before they reach customers.
- Edge AI Infrastructure. You will get an edge AI infrastructure designed to run models directly on production line cameras and controllers, ensuring low latency and high uptime where it matters most.
Humanising Autonomy: Behavioral AI SDK for Humanized Driver Assistance Systems (HDAS)
A computer vision SDK for predicting road user behavior and enhancing driver safety.
Additional Info
Core Tech:
- C++
- OpenCV
- CUDA
- Github Actions
- Cmake
- Conan
- TensorRT
- ONNX
- Ambarella
Country:
United Kingdom
FINTECH
Automated VAT Filing & E‑Invoicing Platform for SAP-Driven Operations
A full-cycle SAP-integrated platform that automates VAT filings, SAF-T reporting, and e-invoicing via KSeF and PEPPOL for a multinational enterprise.
Additional Info
Core Tech:
- SAP S/4HANA
- ABAP
- SAP PI/PO
- SAP Cloud Integration
- Node.js
- Angular
- PostgreSQL
- Redis
- Docker
- Azure
Country:
Poland
Testimonials
Testimonials
Sweden
The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.
Carl-Fredrik Linné
Tech Lead at
CURE Media
United States
We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.
Darrin Lipscomb
CEO, Founder at
Ferretly
Australia
Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.
Daniel Bertuccio
Marketing Manager at
Eurolinx
Australia
We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.
Trent Allan
CTO, Co-founder at
Active Place
United Kingdom
I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.
Andy Morrey
Managing Director at Magma Trading
Switzerland
Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.
Vadim Ivanenko
COO at
Optherium
United States
The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.
Sweden
We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.
John Boman
Product Manager at
Lexplore
Canada
Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.
Tamas Pataky
Head of Product at
Stromcore
Estonia
Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.
Stan Sadokov
Product Lead at
Multilogin
United Kingdom
The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.
Mark Lamb
Technical Director at M3 Network Limited
Insights
Our Experts' Insights
AI & ML
AI Solutions
AI-Powered, Buyer-Centric, Revenue-Driven: A New Marketing Model for B2B Growth
AI & ML
AI Solutions
Legacy Modernization
Intelligent Document Processing vs Traditional OCR: What Enterprises Need in 2026
AI & ML
AI Solutions
Manufacturing
Revolutionizing Farming Practices with AI Technology
FAQ
Frequently Asked Questions
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What exactly is "AI Architect as a Service"?
It is on-demand access to senior AI architects who guide your most consequential technical decisions and the execution team to build them. Most advisory offerings stop at recommendations and leave your team to figure out delivery. We do both. We validate the architecture and build it through to production. Bring our architects into strategy sessions, design reviews, vendor evaluations, and POC scoping early, so you can de-risk major decisions before they become expensive to fix.
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How is this different from hiring a consultancy or building an in-house team?
Building an in-house AI team is slow and costly, and the highly specialized architecture talent you need is scarce and expensive to retain for a single initiative. Large consultancies bring scale but are known for scope creep, hidden costs, and recommendations no one stays to implement. Our fractional model gives you CTO-level architectural leadership and a dedicated execution team for a predictable retainer, without inflating headcount or signing a multi-year program. You get senior judgment when it matters most and delivery capacity scaled to the work.
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How does an engagement work, and how do we start?
We start with focused discovery to understand your business goals, systems, and constraints. From there, your architect embeds in your existing workflows: planning sessions, design reviews, and decision cycles, with no separate track for you to manage. Engagements run on flexible tiers sized to your stage, from lightweight advisory for teams exploring ideas, to ongoing architecture-plus-execution for organizations running multiple initiatives. You can start small to validate a single decision and scale the engagement as the work grows.
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How quickly will we see results?
Faster than a traditional build, because we front-load validation. You see a working prototype tested against your KPIs before full development begins, so key decisions are validated in weeks, not quarters. The point of engaging early is precisely this: the most valuable guidance comes before you have spent months and budget heading in the wrong direction. We measure progress in decisions de-risked and systems shipped, not hours logged.
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We are still exploring AI. Is it too early to engage you?
No, this is the ideal time. The most expensive AI mistakes are architectural ones made early and discovered late: the wrong model choice, a brittle integration, or a pilot built on a data foundation that cannot scale. Bringing architects in while options are still open is far cheaper than correcting course on a production system. When leadership wants AI progress but the team is still evaluating options, we turn open questions into a validated technical path before you commit.
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