BUILD / AGENTIC SYSTEMS
Agentic AI Infrastructure Canada Operators Deploy in Production
An agentic AI infrastructure Canada operators run in production starts here. It starts on your hardware rather than on a vendor cloud account that disappears at renewal time. No vendor lock-in. No vendor cloud account. No black-box pipeline you cannot reproduce. Vanwebdev LTD ships a working pipeline, a build manifest, and a runbook your operations team owns from week eight onward. Specifically, the deployment runs eight weeks across four named phases. It ships on the Sovereign AI Box hardware substrate and aligns to PIPEDA s.4.7 data minimisation and ITSG-33 control families by default. Furthermore, every engineering decision lands in the build manifest so your security team can audit the pipeline without our help.
The Canadian Agentic AI Infrastructure Gap
Canadian operators buying agentic AI infrastructure Canada vendors actually serve face a structural trilemma. Specifically, they can rent agentic platform access from a US-headquartered vendor, build the pipeline in-house, or defer the deployment until the regulatory landscape settles. Notably, none of these three paths produces an agentic deployment a Canadian operations team can audit and operate without vendor permission. Furthermore, US-headquartered vendors run their inference layer in US datacentres under US disclosure obligations. As a result, PIPEDA s.4.7 data minimisation is enforced as a contractual claim rather than as a hardware-level design constraint. The trilemma stays structural until the inference substrate moves into Canadian or EU jurisdiction.
Vanwebdev LTD ships an agentic AI infrastructure Canada operators run on their own hardware, under their own runbooks, with their own IP. Specifically, the eight-week deployment lands a working multi-agent pipeline on the Sovereign AI Box substrate. It also ships a build manifest your security team audits and a runbook your operations team operates from handover onward. Notably, the four use cases (knowledge, sales, compliance, engineering agents) are the four pain shapes Canadian operators bring to us most often. Furthermore, each pain shape maps to a discrete agentic deployment pattern with named technical anchors and a single verifiable deliverable per engagement. See the Canadian Centre for Cyber Security advisory feed for the agentic-framework CVE stream the harden phase consumes.
WHAT WE BUILD
Agentic AI Infrastructure Canada: Four Use Cases, One Sovereign Substrate
Knowledge Agents
Turn scattered Confluence pages, Notion wikis, and SharePoint drives into one searchable answer surface your operations team queries on day one. Built on a RAG retrieval layer with citation-back-to-source enabled by default. Every answer the agent returns traces back to the document that produced it. Furthermore, redaction rules for personal information under PIPEDA s.4.7 are wired into the retrieval policy at index time rather than bolted on later. Deliverable: a working knowledge-agent endpoint with a documented retrieval policy and a redaction ruleset.
Sales Agents
Route inbound sales enquiries through a qualification pipeline. The pipeline drafts a follow-up reply, scores the lead against your ICP rubric, and books a calendar slot when the lead clears the threshold your team sets. Built on tool-call boundaries that prevent the agent from sending email without operator approval. Every drafted reply lands in a queue for one-click send or edit. Specifically, the audit log records every retrieval, every prompt, and every operator decision against the qualification rubric. Deliverable: a working sales-agent endpoint with a qualification rubric, a full audit log, and an operator approval gate.
Compliance Agents
Monitor your deployed AI systems for compliance drift across inference logs and RAG retrieval contexts. The named-policy ruleset covers PIPEDA, Bill C-27 AIDA, the Directive on Automated Decision-Making, and OSFI B-13. The compliance agent watches tool-call traces and flags anomalies for operator review within four business hours of the triggering event. Furthermore, weekly compliance reports land in your inbox with the named-policy rules that triggered each anomaly and the inference trace that surfaced it. Deliverable: a monitoring agent with policy ruleset, weekly compliance report, and alert routing.
Engineering Agents
Wire your engineering team into an internal agentic toolchain. The toolchain runs code review, dependency scanning, and runbook drafting against your private repositories under engineer supervision. Built on LangGraph orchestration with MCP servers for repo access, secrets management, and tool integration with your existing CI pipeline. Notably, every agent action posts back to the originating pull request as a structured review comment. An engineer can then approve, edit, or reject the comment. Deliverable: a working internal agent with named MCP servers, a code-review prompt set, and a CI integration.
Agentic AI Infrastructure Canada Methodology: Map, Build, Harden, Ship
01
Map
Two weeks of mapping. Specifically, we document your existing knowledge surfaces, sales-pipeline tooling, compliance reporting obligations, and engineering toolchain end to end. The deployment lands on a real workflow rather than a hypothetical one. Specifically, the deliverable at the week-two acceptance gate is an agentic-systems scope document. It names use cases, technical anchors, data sources, and an acceptance criterion per agent. Furthermore, the scope document becomes the contractual basis for the remaining six weeks of engineering work and the formal acceptance criteria for handover at week eight.
02
Build
Two weeks of building. We assemble the RAG retrieval layer, the agent orchestration graph, the tool-call boundaries, and the MCP server integrations against your data sources end to end. Frameworks are LangGraph or LangChain against your sanctioned data sources. Specifically, the deliverable at the week-four acceptance gate is a working pipeline on the Sovereign AI Box hardware substrate. The build manifest documents every framework version, every prompt template, and every tool-call permission scope. Furthermore, the pipeline runs against staging data so your team can validate behaviour before the harden phase begins.
03
Harden
Two weeks of hardening. We run prompt-injection tests against the pipeline. We audit RAG retrieval contexts for unintended personal-information disclosure, scope tool-call permissions to the minimum required, and document the four agentic attack vectors that Lakera and CCCS advisories track most actively. Specifically, the four vectors are agent-to-agent message tampering, shared-memory poisoning, tool-call cascade exploits, and RAG-retrieval prompt injection from polluted document sources. Furthermore, the deliverable is a hardening report with named findings, severity ratings, and remediation diffs.
04
Ship
Two weeks of shipping. Furthermore, we hand off the working pipeline and train your operations team on the runbook over five working sessions across the final two weeks of engagement. We integrate the agent endpoints into your existing monitoring and document the handover acceptance criteria your security team approves. Specifically, the deliverable at the week-eight acceptance gate is an operating agent your team runs without our help. A 90-day standing-engagement option keeps us on retainer for runtime tuning if you want continuity. Furthermore, the runbook covers the four failure modes most common in the first 90 days of operation.
Compliance-agent enforcement defaults cite the Office of the Privacy Commissioner news feed. Post-deployment continuity is available via the Standing Engagement retainer.
SOVEREIGN AI BOX SUBSTRATE
Your Hardware. Your Runbooks. Your IP.
Every agentic AI infrastructure Canada deployment ships on the Sovereign AI Box hardware substrate. The build manifest is auditable; the runbook is operable from week eight onward. Similarly, ITSG-33 alignment notes cover the inference layer and PIPEDA s.4.7 data minimisation rules are wired into the retrieval policy at index time. Furthermore, these are design defaults rather than premium upgrades. Anything less leaves a Canadian operator on the vendor-cloud trilemma the deployment was meant to escape.
Vanwebdev LTD Build trunk. Sovereign AI Box specification at vanwebdev.ca/service/sovereign-ai-box/. Build manifest template at vanwebdev.ca/research/methodology/.
See the Defend pillar for runtime protection alongside the agentic deployment.
Frequently asked questions about agentic AI infrastructure Canada operators run
A US vendor cloud platform runs the inference layer in US datacentres under US disclosure obligations. As a result, PIPEDA s.4.7 data minimisation and ITSG-33 control families are enforced as contractual claims rather than as hardware-level design constraints. Specifically, an agentic AI infrastructure Canada operators actually run lands on Canadian or EU-jurisdiction hardware. It ships with a build manifest and a runbook your team operates without vendor permission. Furthermore, the IP for the prompt templates and tool-call boundaries stays with you rather than with the platform vendor. Notably, this is the structural difference that the Sovereign AI Box substrate exists to make real.
An eight-week agentic AI infrastructure Canada deployment runs $24,000 to $48,000 depending on the use-case mix and the hardware substrate. Specifically, the engineering engagement runs $16,000 to $32,000 across the four phases (Map, Build, Harden, Ship). The Sovereign AI Box hardware adds $8,000 to $16,000 depending on the GPU configuration. Furthermore, sub-$5,000 scoping engagements proceed through the self-serve scoping wizard at vanwebdev.ca/scope/ without a sales call. Notably, the 90-day standing-engagement retainer for post-deployment runtime tuning is priced separately at $4,000 per month and is optional.
Vanwebdev LTD works with LangGraph and LangChain for agent orchestration, vLLM and Ollama for open-weight model serving, and MCP for tool integration. The standard Python data stack handles retrieval and indexing. Specifically, framework selection happens during the Map phase against your existing engineering stack rather than being prescribed in advance. Furthermore, we do not resell any commercial agentic platform. We do not require a Vanwebdev account or any vendor lock-in. Notably, every framework choice is documented in the build manifest with the exact version and configuration deployed.
The Sovereign AI Box is the hardware substrate the agentic pipeline runs on. Specifically, it is an on-premises or co-located GPU inference node pre-configured with open-weight models, a hardened OS, and no US hyperscaler dependency. Furthermore, the Sovereign AI Box ships with ITSG-33 alignment notes and a build manifest documenting every component. Your security team audits the substrate independently from the agentic pipeline above it. Notably, customers who already operate Canadian GPU infrastructure can skip the hardware procurement. The agentic pipeline runs on their existing substrate after a one-week assessment.
At week-eight handover, your operations team runs the agentic pipeline without our help, using the runbook delivered during the Ship phase. Specifically, the runbook covers the four failure modes most common in the first 90 days of operation. It also documents the named-policy rules that trigger compliance-agent alerts and the operator approval gate for tool-call boundaries. Furthermore, a 90-day standing-engagement option keeps us on retainer at $4,000 per month for runtime tuning, prompt-template updates, and quarterly hardening reviews. Notably, every standing-engagement client receives the Monthly Canadian Threat Brief annotated private edition as part of the retainer. The intelligence cadence reinforces the operational cadence.
BOOK A SCOPING CALL. DOWNLOAD THE RISK MAP.
Book a Scoping Call. Read the AI Risk Map First.
Bring your use case, your data sources, and your regulatory context to a 45-minute technical scoping call. Regulatory context covers PIPEDA, ITSG-33, Protected B, the Directive on Automated Decision-Making, or none. Specifically, the output is a scoped estimate range, a four-phase timeline, and a calendar link for the kick-off session. No sales motion. Furthermore, sub-$5,000 engagements proceed through the self-serve scoping wizard at vanwebdev.ca/scope/ without a call, including initial agentic AI infrastructure Canada-context scoping questions. Notably, you can also download the AI Risk Map for Canadian Operators as a free PDF before scoping anything.
Prefer to read first? Download the AI Risk Map for Canadian Operators. Or scope an Intelligence Audit as a precursor to a full deployment.