AI Consulting · AIDLC Development · Forward Deployed Engineers
Enterprise AI Services That Close theAI Deployment Gap
Take AI from pilot to production: use cases selected against your compliance constraints, engineering integrated with your systems, all under your controls, inside your perimeter.
- 60+ AI projects in production
- Ideation to MVP in 6 weeks
- Triple ISO certified
The roadmap
AI Consulting
Find the use cases worth building, and the order to build them in.
Talk to a specialistEnterprise AI consulting, not a vision deck: AI use case discovery, AI readiness assessment, and a sequenced AI roadmap your security and compliance teams can sign.
Use Case Discovery
Workshops across the departments that own the process
AI Readiness Assessment
Data, systems and governance gaps named before they bite
Architecture & Roadmap
A build order, with the compliance path attached
How it runs
Four weeks, four outputs. Constraints are written down in week one.
- 1Week 1
Readiness
Workshops with the teams who own the process; residency and security constraints written down first.
Output: constraints register and access map
- 2Week 2
Portfolio
Use cases scored on business value, data readiness and control burden, with a stated first build, not a ranked wishlist.
Output: scored portfolio with the first-build decision
- 3Weeks 2-4
Prototype
The priority use case built on MagOneAI in a sandbox against your real data, with human-in-the-loop gates on every high-risk step.
Output: a working agent, plus baseline versus assisted performance
- 4Week 4
Business Case
Roadmap, reference architecture, control map and cost model your board and security team can interrogate.
Output: the decision pack, ready for sign-off
The build
AIDLC: AI-Driven Development Life Cycle
Software delivery rebuilt around AI agents. Engineers own architecture and governance.
Talk to a specialistThe AI-Driven Development Life Cycle: AI agents handle coding, scaffolding, testing and documentation; senior engineers own architecture, specifications and evaluation metrics, compressing weeks of sprints into hours, to your security standard.
Agent-Built Delivery
AI agents code, scaffold, test and document
Engineering Governance
Architecture, specs and evaluation metrics owned by senior engineers
System Integration
ERP, CRM, core banking and legacy systems via MCP connectors
How it runs
Specs and evaluation metrics first. AI agents compress sprints into hours; engineers govern what ships.
- 1Week 1
Specification
Architecture, technical specs and evaluation metrics defined against your systems and security standard.
Output: signed-off specs and evaluation metrics
- 2From week 2
Agent Build
AI agents generate code, scaffolding, unit tests and documentation, under senior-engineer review.
Output: working software in your repo, continuously
- 3Continuous
Governance
RBAC, audit trails and pen-test evidence produced with the code, not assembled after it.
Output: passed security review, first time
- 4Go-live
Handover & Hypercare
Deployment into your environment, runbooks, training and a hypercare window until the numbers hold.
Output: a system your team operates without us
The team
Forward Deployed Engineers
Client-facing engineers embedded in your environment, under your process.
Talk to a specialistForward Deployed Engineers work inside your environment (legacy systems, unique APIs, strict security constraints), bridging consulting and deep infrastructure engineering to make AI deliver measurable business value.
Embedded in Your Stack
Your sprints, your tooling, your access policies
Consulting to Code
Business intent translated into production infrastructure
Flexible Scale
Scale the team up or down as the programme moves
How it runs
Embedded in weeks, productive in the first sprint. Your process, our platform knowledge.
- 1Week 1
Profile & Fit
Roles scoped against the programme. You interview; you decide who joins.
Output: named engineers, agreed start date
- 2Week 2
Embed
FDEs join your standups, tooling and review process, not a parallel track.
Output: engineers committing in your repo
- 3Ongoing
Deliver
Production agentic AI experience applied to your backlog, inside your constraints.
Output: velocity your sprint reports can show
- 4As it moves
Scale or Hand Over
Scale as the programme moves, with documented handover so the capability stays.
Output: no dependency you did not choose
What every service leaves behind
Platform-Led, Not Platform-Locked.
Services powered by MagOneAI where it accelerates delivery, independent of it where it does not: architecture, code and workflows you own, LLM-agnostic, in your environment, no vendor lock-in.
The record
Services That End in Production, Not a Binder
Measured on what reached production.
- Of clients report our AI solutions map directly to business KPIs
- 90%Of clients report our AI solutions map directly to business KPIs
- AI projects delivered across BFSI, manufacturing, retail, public sector & healthcare
- 60+AI projects delivered across BFSI, manufacturing, retail, public sector & healthcare
- Average time from ideation to working MVP
- 6 wksAverage time from ideation to working MVP
- Deployment models: private cloud, on-premise, air-gapped
- 3Deployment models: private cloud, on-premise, air-gapped
ISO 42001
ISO 27001
ISO 9001
SOC 2 Type II
GDPR
Dubai AI Seal
Not badges. Audited, third-party verified commitments.
Frequently asked questions
Enterprise AI Services, Answered
- What are enterprise AI services?
- The consulting, engineering and staffing work that takes AI from pilot to governed production. Magure delivers three: AI consulting to select and sequence use cases, AIDLC development where AI agents build under engineering governance, and Forward Deployed Engineers embedded in your environment.
- What is AIDLC?
- The AI-Driven Development Life Cycle, the evolution of the traditional SDLC. AI agents handle coding, scaffolding, unit testing and documentation; senior engineers own architecture, technical specifications and evaluation metrics. Weeks of code sprints compress into hours, governed end to end.
- What is a Forward Deployed Engineer (FDE)?
- A client-facing software engineer embedded directly in your environment. FDEs make complex software deliver real business value amid legacy systems, unique APIs and strict security constraints, bridging consulting and deep infrastructure engineering.
- How long does a first engagement take?
- Consulting produces a sequenced roadmap and a scoped first use case within four weeks. Deployments go live in weeks, not quarters.
- Do the services work in regulated industries?
- Yes. ISO 42001, ISO 27001 and ISO 9001 certified, SOC 2 Type II attested, Dubai AI Seal. Deployments run in private cloud, on-premise or fully air-gapped, with data residency in the region you choose.
- Is the work tied to the MagOneAI platform?
- No. Our AI services are led by MagOneAI wherever it fits, never limited to it: an accelerator, not a requirement. Each service delivers in your stack, to your standards; where MagOneAI is used, it runs LLM-agnostic, in your environment, with no per-execution fees.
Start Where AI Is Stuck. We'll Map the Path to Production
Bring the workflow, the constraint or the stalled pilot. In a thirty-minute scoping session, a solution architect maps it to the right service (consulting, AIDLC or FDE) with the path to production defined before you commit.
- Technical scoping session
- No sales deck
