Your Backlog Has a Capacity Problem, Not a Pipeline Problem.
SN Architect connects discovery, architecture, backlog, build, test, and documentation in one governed workflow, with an AI Architect accountable at every gate.
Bring a real backlog requirement and the governance constraints around it.
8 specialised AI agents · Validated by an operator
[ Built for Enterprise Delivery Complexity ]
Enterprise ServiceNow environments are complex, heavily customised, and heavily governed. SN Architect is designed for that reality.
Clears the Backlog Without New Headcount
One accountable AI Architect directs 8 specialised AI Agents across discovery, design, build, test, and documentation, keeping backlog work in one governed flow.
Architecture Governance Built In
Enterprise delivery without governance is technical debt accumulation at scale. SN Architect enforces structured design review, AI Architect approval, and decision traceability at every phase, not as process overhead, but as platform behaviour.
Handles Your Most Complex Requirements
SN Architect starts at the business requirement, including the complex, poorly-defined ones that other AI tools reject. Discovery, process mapping, gap analysis, and stakeholder alignment happen before a line of design is produced.
No AI Output Reaches Production Unsupervised
Enterprise risk teams and CISOs have legitimate concerns about AI in delivery. SN Architect's mandatory human validation gates ensure no AI-generated output reaches production without explicit AI Architect review and approval. This is enforced by the platform.
Your Team Gets Stronger Every Sprint
Enterprise dependence on external consultants is a governance and budget risk. SN Architect is designed to embed capability, not create dependency. Our operator model grows your internal team's confidence and skills with every engagement cycle. Rolling 30-day contracts give you full control of the pace.
Regulatory and Compliance Ready
All design decisions, approval events, and change rationale are captured and traceable within the platform. For regulated industries (financial services, insurance, healthcare), SN Architect provides the evidence trail that audit, risk, and compliance teams require.
[ The Operator Model ]
One AI Architect. Every Delivery Discipline.
The AI Architect spans sales, requirements, process, solution design, data, implementation, testing, and project management. 8 specialised AI Agents multiply their capacity while the AI Architect retains decision authority at every phase.
Sales
Qualifies opportunities, maps stakeholders, develops account strategy, and builds value cases grounded in the client's delivery priorities.
Pre-Sales
Turns qualified demand into solution scope, estimates, demos, and proposals that delivery can execute without a handoff gap.
Solution Architect
Designs technical architecture, data models, integration patterns, and configuration strategies. Contributes approved architecture decisions to the deliverable.
Business Process Consultant
Analyses existing business processes, identifies optimisation opportunities, and maps process flows to ServiceNow capabilities.
Business Analyst
Conducts structured requirements gathering, gap analysis, and produces detailed requirements documentation with acceptance criteria.
Technical Consultant
Handles implementation: configuration, scripting, flow design, and integration builds. All traceable to approved design decisions.
Project Manager
Manages timelines, tracks deliverables, identifies risks, and maintains project momentum across workstreams.
Project Organiser
Coordinates resources, schedules activities, manages dependencies, and handles the administrative overhead that slows delivery.
What This Is Not
This is not a chatbot that generates code snippets. It's not an autocomplete plugin. And it's not a replacement for your AI Architect.
It's a structured delivery platform where AI handles the volume and your AI Architect handles the judgment. The result: one AI Architect delivers what used to require a team of 6-8 people, with better governance, faster timelines, and complete traceability.
[ How Can It Be Deployed? ]
Choose the setup that fits your security and data requirements.
Dedicated Cloud
Your own MainStack-managed cloud tenancy. Use Marvy-3 or any approved model. Our Marvy-3 cloud service is GDPR compliant with zero data retention.
On-Premises
Run SN Architect in your environment with Marvy-3 or any approved model. Our Marvy-3 cloud service is GDPR compliant with zero data retention.
Fully Private
Run SN Architect and the AI model in your environment. Use local Marvy-3 or any approved model.
[ Frequently Asked Questions ]
This is where SN Architect is most differentiated. The discovery phase is structured specifically for ambiguous requirements: stakeholder alignment workshopping, assumption surfacing, constraint identification, and gap analysis. The AI agents work through the ambiguity systematically. The output is a structured, agreed requirement before design begins. Most AI tools skip this phase entirely.
Every phase transition in the delivery lifecycle (from discovery to design, design to build, build to test) requires explicit AI Architect approval. All approvals, modifications, and rejections are logged with timestamps and rationale within the platform. For regulated industries, this creates an auditable evidence trail covering every AI-assisted design decision. No AI-generated output reaches production without a named AI Architect's sign-off.
The operator model is structured in progressive phases: we operate together initially, then embed capability into your team through guided collaboration and coaching. In enterprise contexts with multiple AI Architects, we typically run a train-the-trainer model where your lead AI Architect becomes the platform operator and trains the rest of the team. Rolling 30-day contracts mean you control the pace and are never locked in.
Yes. SN Architect produces structured deliverables, including proposals, assessments, backlogs, solution designs, requirements specifications, and architecture decision records, that feed directly into your existing SDLC gates, CAB processes, and change management workflows. The platform is designed to complement, not replace, your governance structure.
Your project data is processed in an isolated environment and is never used to train models for other clients or other engagements. We provide detailed data processing documentation, data residency options, and can support DPA requirements for regulated industries. Security documentation is available on request prior to any commercial commitment.
We've had this conversation many times. The key points: every AI-generated output is reviewed and approved by a named AI Architect before it influences any build activity. The approval chain is logged and auditable. The AI models are fine-tuned on real ServiceNow delivery data, not general-purpose LLMs with ServiceNow prompts. Data isolation is enforced at the platform level. We can join the CISO conversation directly.
Bring a Real Requirement. Map the Next Step.
Share the requirement, constraints, and current platform context. We'll use the session to identify a practical route forward.
Book a Demo
Bring a real ServiceNow requirement. We'll map the scope, dependencies, and a practical next step.