Services

The latest AI, working on your everyday tasks. Planned, built, and run by one team.

From choosing the right AI tools and training your people, to building custom agents and the integrations behind them, EngLogics helps organizations turn AI into hours saved every week, with the security and oversight enterprise work requires.

Practices
Strategy, solutions, and operations
Services
Ten specialist services
Engagement
Strategy through long-term support
Designed and built
In Canada

Why EngLogics

Why organizations call EngLogics

General-purpose AI tools and large consultancies both stop short of the detailed, rules-heavy work that runs an industrial business. We are built to close that gap.

  • Outcomes before technology

    Every engagement starts with a measurable result, such as quote turnaround, hours recovered, or error rates, and we design backwards from it. You know what success looks like before build work begins.

  • Fluent in technical work

    We understand estimating, equipment, specifications, drawings, and operational data. Less is lost in translation, discovery is shorter, and the solution handles the edge cases your specialists deal with every day.

  • One accountable team

    Strategy, design, development, integration, and support sit with the same people. There are no hand-offs between vendors and no gaps in responsibility.

  • Independent and model-agnostic

    We do not resell software or favour one AI provider. We select the best model and platform for each task, and design so you can switch as the market moves.

  • Enterprise controls from day one

    Security, human approval steps, audit trails, and data residency are designed in from the first workshop, so your IT and risk teams can say yes.

  • You own what we build

    Source code, documentation, and infrastructure belong to you. No black boxes and no proprietary platform to rent forever.

Technology

The technology we build with

We work with proven, well-supported platforms and choose them for each engagement based on your systems, security requirements, and budget, never on a reseller agreement.

AI models

Commercial and open-weight models, selected per task for accuracy, cost, and data control.

  • Anthropic Claude
  • OpenAI GPT models
  • Google Gemini
  • Meta Llama
  • Mistral
  • Azure OpenAI Service
  • Amazon Bedrock
  • Google Vertex AI

Agents and orchestration

Agents act through typed, permissioned tools and durable workflows.

  • Model Context Protocol (MCP)
  • LangGraph
  • Semantic Kernel
  • Temporal
  • Microsoft Power Automate

Knowledge and documents

Retrieval and document understanding grounded in your approved sources.

  • PostgreSQL + pgvector
  • Azure AI Search
  • Elasticsearch
  • Azure AI Document Intelligence
  • Amazon Textract
  • SharePoint and Microsoft Graph

Applications

Maintainable, widely supported languages and frameworks.

  • TypeScript
  • React
  • Next.js
  • .NET and C#
  • Python
  • FastAPI
  • Three.js

Data and analytics

Governed data your dashboards and agents can rely on.

  • Microsoft SQL Server
  • PostgreSQL
  • Microsoft Fabric
  • Snowflake
  • dbt
  • Microsoft Power BI
  • AVEVA PI System

Enterprise systems and APIs

Connections into the platforms that run your business.

  • SAP
  • Microsoft Dynamics 365
  • Oracle NetSuite
  • Salesforce
  • Autodesk
  • SOLIDWORKS PDM
  • OpenAPI and REST
  • OPC UA

Cloud, security, and operations

Infrastructure as code, identity integration, and full observability.

  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud
  • Kubernetes
  • Terraform
  • Microsoft Entra ID
  • OpenTelemetry
  • GitHub Actions

Product names are trademarks of their respective owners. Listing a technology does not imply a partnership or endorsement.

How we engage

One team, from first idea to long-term operation

Every engagement follows a clear path, sized to your needs, with agreed scope, milestones, and success measures.

  1. Discover

    Understand your goals, workflows, systems, and constraints, and identify where AI and software will make the biggest difference.

  2. Design

    Define the solution, integrations, controls, and success measures, and agree on scope, timeline, and pricing.

  3. Build and evaluate

    Deliver in iterations, test against your real data and scenarios, and review progress with your team.

  4. Operate and improve

    Launch with monitoring, documentation, and training, then keep improving with ongoing support.

Built for enterprise

Designed to be trusted

Security, oversight, and maintainability are part of the design from the first conversation, not added at the end.

  • Human oversight

    AI agents act within defined permissions, with approval steps wherever decisions matter.

  • Security by design

    Access control, data protection, and audit logging are built in from the start.

  • Measured quality

    Solutions are evaluated against your real data and agreed success measures.

  • Built to last

    Documented, tested, and maintainable, with support that continues after launch.

Outlook: the future of AI

AI is becoming part of how technical work gets done

The first wave of AI answered questions. The next wave carries out work: reading requests, preparing quotes, checking documents, and coordinating across systems, with people approving the decisions that matter. Organizations that build the foundations now will compound the advantage for years.

  1. Now

    Assistants that save hours

    AI drafts, summarizes, extracts, and searches, returning time to specialists. The priority is choosing workflows with clear, measurable value.

  2. Next 2–3 years

    Agents that carry out processes

    Agents work across ERP, document, and design systems through governed tools, escalating exceptions to people rather than every step.

  3. Longer term

    AI in the operating model

    Processes, roles, and systems are designed with AI as part of the team. Advantage goes to organizations with connected data and strong governance.

$2.6–4.4T
Estimated annual value generative AI could add to the global economy across the use cases analysed.McKinsey Global Institute, 2023
33%
Of enterprise software applications expected to include agentic AI by 2028, up from less than 1% in 2024.Gartner, 2024
15%
Of day-to-day work decisions expected to be made autonomously through agentic AI by 2028.Gartner, 2024

Our work

Proof, not promises

We designed and built quotation software for pressure-vessel and pipeline-equipment fabricators, turning years of estimating expertise into systems anyone on the team can use.

View our work

Industries

Where we work

We build AI agents and software for organizations whose work is specialized, regulated, and operationally demanding.

Start with one workflow

Tell us what you want to achieve

Share your goals, the workflow involved, and the systems you use today. We will respond with practical next steps for scoping your project.