Deliver More Clients. Same AI Architect.
SN Architect gives MSP delivery teams one governed workflow for discovery, design, build, test, and documentation across client engagements, with an AI Architect accountable at every gate.
Bring a real client requirement and the platform context behind it.

8 specialised AI agents · Validated by an operator
[ Built for MSP Delivery Realities ]
MSPs don't have the luxury of slow solution design. SN Architect is designed for the pace and scale of multi-client delivery.
Multi-Client Architecture Reuse
Solution patterns, playbooks, and accelerators built once and deployed across your client portfolio. SN Architect learns from each engagement and applies that intelligence to the next.
Client-Ready Deliverables in Hours
SN Architect gives each client requirement the same structured discovery, design, review, and documentation workflow without relying on ad hoc handoffs.
Governed Delivery at Scale
Human validation gates at every phase transition, enforced by the platform, not left to team discipline. Consistent governance across every client engagement, regardless of who's leading it.
Junior Teams, Senior Output
Junior consultants work with SN Architect to produce high-quality requirements, designs, and documentation. Your AI Architect reviews and approves. Quality stays high without the headcount cost.
Recurring Revenue Model
MSPs can offer SN Architect as a platform service to clients, charging for structured discovery and solution design as a standalone deliverable. New revenue line, no additional staff required.
Reusable Delivery Context
Requirements, decisions, approvals, and delivery artefacts stay connected in the workspace, giving each client engagement a traceable operating context.
[ 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 ]
Yes. SN Architect is designed for multi-client delivery. Each client engagement operates in its own isolated workspace with separate data, governance gates, and output artefacts. Your AI Architects can switch between client contexts without cross-contamination of data or design decisions.
Junior consultants work through a structured workflow under an AI Architect. The 8 AI Agents handle discovery, requirements gathering, and documentation. The AI Architect reviews and approves at each gate, focusing on judgment rather than production.
Yes. MSPs can offer structured discovery and solution design as a packaged service. SN Architect is the delivery engine behind it. This creates a differentiated, productised offering that is distinct from day-rate consulting and provides a predictable revenue line. Talk to us about MSP partnership terms.
Each client engagement runs in a completely isolated environment. Client data is never shared between workspaces, and the AI models are not retrained on your clients' data. We can provide detailed data isolation and security documentation, relevant for MSPs with enterprise and regulated clients.
The client brings a business requirement and the relevant platform context. Your AI Architect configures an isolated workspace, starts structured discovery, and defines the approval gates and outputs needed for that engagement.
SN Architect covers the full ServiceNow delivery lifecycle across ITSM, ITOM, CMDB/CSDM, CSM, FSM, HAM/SAM, App Engine, and integration patterns. The fine-tuned models are trained on real enterprise implementations across all major modules, not just the commonly-documented ones.
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.