Service

Move from an AI idea to a production-ready architecture

AI projects stall when a promising demonstration is separated from real data, permissions, workflows and ownership. 360ISS provides hands-on solution architecture from discovery through a working reference implementation, so leaders can make a sound investment decision and delivery teams have a design they can operate.

AI solution architectureLast updated

Talk to us about AI solution architecture Common questions

Who it's for

  • Leaders who need an independent AI roadmap before selecting a platform or delivery partner
  • Technology teams adding agents, retrieval or model services to an existing enterprise landscape
  • Programs that need senior architecture leadership without hiring a full-time AI architect

What we design

We identify valuable use cases, map systems and information flows, and choose the smallest architecture that can meet the outcome. The design covers models, retrieval, tools, APIs, agent orchestration, human approvals, security, evaluation, observability and operating cost. Model and framework choices remain replaceable where practical.

How we work

  1. Discover — Prioritize use cases by value, feasibility, data readiness and consequence of failure.
  2. Architect — Define components, integrations, trust boundaries, deployment options and non-functional requirements.
  3. Prove — Build a focused reference implementation and evaluate it against representative cases.
  4. Plan — Provide a sequenced roadmap, estimates, ownership model and production readiness gates.

What you get

  • Use-case portfolio and prioritized first release
  • Current-state and target architecture with decisions and tradeoffs
  • Working reference implementation for the highest-value assumption
  • Evaluation, security, observability and human-oversight plan
  • Delivery roadmap with milestones, roles, dependencies and operating costs

Built for the organization you operate

We design data and permissions by organization, branch and role rather than assuming one owner or one data set. International programs keep locale, language, currency and regulatory choices configurable. Administrators retain control over enabled models, tools, integrations and agent permissions.

Frequently asked questions

Is this only an advisory engagement?

No. We can take the architecture through a reference implementation and continue into delivery, or hand a documented design to your internal team or selected vendor.

Can you review an AI platform we already selected?

Yes. We test its fit against the use case, integration landscape, security requirements, operating cost and exit options rather than restarting the decision.

What is a fractional AI architect?

It gives a program part-time access to senior architecture leadership for discovery, design reviews, delivery decisions and production readiness without adding a permanent role.

How do you prevent vendor lock-in?

We separate business rules, evaluations, data access and orchestration from model-specific features where the benefit exceeds the cost. Every decision records the tradeoff.

How quickly can we get a useful result?

A focused discovery and architecture engagement can usually produce a prioritized design and proof plan within weeks. Timing depends on stakeholder access, data readiness and integration complexity.

Guides for this service

Guide, updated October 15, 2026

AI agent identity security: a 10-point checklist

A practical checklist for AI agent identity, least privilege, delegated access, MCP tools, approvals, audit, attestation and revocation.

Guide, updated October 15, 2026

AI agents for small business: uses, costs and guardrails

AI agents for small business: practical uses, costs, limits, privacy and seven guardrails before an agent can use company tools.

Guide, updated October 8, 2026

How much does custom software cost in Canada?

How to budget for custom software in Canada: scope, integrations, build vs buy, support costs and the evidence a useful quote needs.

Guide, updated October 8, 2026

AI automation ROI calculator: formula and example

How to calculate AI automation ROI: the formula, the inputs that matter, a hypothetical worked example in CAD, payback period and costs people forget.

Other services

Process automation

We map your manual processes and turn repetitive steps and handoffs into clear, dependable automated workflows your team can own.

AI automation

We put AI to work on well-defined tasks like reading, sorting and drafting, with your people approving the decisions that matter.

AI agents

We build tested AI agents that use your systems, complete multi-step work and hand important decisions to the right person.

Identity security for AI agents

We design identities, delegated access and audit controls so AI agents can use enterprise systems without inheriting excessive permission.

ServiceNow AI architecture

We assess, design and prove ServiceNow AI use cases with the integrations, security and human controls needed for production.

AI knowledge systems

We turn approved company documents and systems into a searchable AI knowledge assistant with citations, access controls and measured answer quality.

AI governance and training

We create practical AI rules, evaluations and role-based training so your team can use AI confidently without losing accountability.

Software development

We design and build web applications, portals and internal tools shaped around your real business process, delivered in small, usable stages.

System integration

We connect your CRM, accounting, e-commerce and operations tools so information moves where it needs to go, without manual re-entry.

Website development

We build fast, accessible business websites that explain your value clearly and make it easy for visitors to get in touch or buy.

Advertising

We plan and run Google, Microsoft, Meta and LinkedIn campaigns with proper tracking, focused landing pages and budgets you set.