RAG copilots
Retrieval-augmented copilots grounded in your content, with prompt management, evaluation, and red-teaming built in.
Expertise
AI Orchestration
Production-grade AI on Azure – copilots, agents, and document intelligence your teams can actually trust.
Specialists, not generalists
24x7 from Toronto and Halifax
Named senior engineers per account
Microsoft Solutions Partner
InfrastructureDigital & App InnovationData & AISecurity
Overview
What we do
At a glance
EngagementCo-managed or fully managed
First outcome30-90 days
Coverage24x7 / Toronto and Halifax
TeamNamed senior engineers
We help enterprises move from AI experiments to governed, measurable production – grounded in your own data, evaluated before release, and instrumented for cost.
We're model-agnostic: Azure OpenAI where it fits, open or third-party models where they're better, always behind the same safety, evaluation, and audit layer.
How we engage
01
Discover
Scoped, costed assessment before any build.
02
Design
Reference architecture and delivery plan.
03
Deliver
Senior engineers build in evidenced increments.
04
Operate
24x7 managed operations with named owners.
Capabilities
What's inside the practice
Each capability is a sub-service we scope, deliver, and operate, with the engineering specifics, not brochure lines.
Agents & automation
Multi-step agents that act across Microsoft 365 and line-of-business systems, with human-in-the-loop guardrails.
Document intelligence
Extract, classify, and summarize unstructured documents at scale with hybrid OCR and LLM pipelines.
Responsible AI
Content safety, PII redaction, audit logging, and an AI governance framework aligned to ISO/IEC 42001.
Reference architecture
How we build it
A reference pattern, not a template. Every layer is tailored to your environment, constraints, and compliance posture.
Experience
Copilot UI, Teams / M365 apps, API & webhooks
Orchestration
Prompt flow, Agents & tools, Guardrails
Models
Azure OpenAI, OpenAI / Claude, Open models
Knowledge
Vector index, AI Search, Doc Intelligence
Foundation
Landing zone, Private endpoints, Key Vault
Cross-cutting
Identity (Entra)
Content safety
Evaluation & logging
Cost controls
Technology
Vendor-agnostic by design
We hold deep Microsoft specializations, and we are deliberately multi-vendor. We pick the platform and tooling that fit your outcome, your team, and your constraints, never a single badge.
The stack below is representative; we work with what you already run, and tell you plainly when something should change.
Models
Azure OpenAI, OpenAI, Anthropic Claude, Hugging Face, Mistral
Orchestration
Prompt flow, LangChain, Semantic Kernel, Copilot Studio
Knowledge & vectors
Azure AI Search, Pinecone, pgvector, Document Intelligence
MLOps & governance
Azure AI Foundry, MLflow, Content Safety, Azure Monitor
Engineering standards
We go deep, on purpose
Whatever the practice, the same engineering discipline holds. These are the commitments behind every BITSUMMIT delivery.
Infrastructure as code
Every environment is reproducible: Bicep, Terraform, and Git, never console clicks.
Observability by default
Dashboards, alerts, and SLOs wired in before go-live, not after the first incident.
Security baselines
CIS and Microsoft baselines applied as policy, with drift detection and remediation.
Tested recovery
Backups and failover are proven on a schedule, with named owners and runbooks.
Documented and yours
Architecture decision records and runbooks you own: no black boxes, no lock-in.
FinOps discipline
Cost is a first-class metric: budgets, tagging, and right-sizing from day one.
By the numbers
Outcomes our clients see
60
%
Reduction in document handling time after deployment.
4
wk
From discovery to a governed copilot in production.
100
%
Of AI interactions logged and evaluable for audit.
Related expertise
Explore adjacent practices
No items found.
FAQ
Questions we hear
How do you control AI cost?
We instrument token usage per workload, set budgets and alerts, and right-size models, routing simple tasks to cheaper deployments.
Does our data train the model?
No. Azure OpenAI keeps your prompts and data within your tenant boundary – nothing is used to train foundation models.
Let's break some barriers.
Tell us what you're trying to modernize, secure, or migrate. We'll bring a plan and a named senior engineer, not a sales pitch.
Schedule a call →×
TALK TO A SPECIALIST
Tell us what you need
A 30-minute working session with a senior specialist, not a sales call.
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