AI Services | Automation, RAG, Integration & Consulting
One Toronto team ships agentic AI automation, RAG chatbots, support agents, lead gen systems, LLM integration, and strategy consulting. Model-agnostic builds on GPT-4o, Claude, Gemini, and open-source. Your data stays yours.
✓ Quote-based pricing · ✓ 4-week average launch · ✓ Toronto � US � UK � CA � AU
Works with GPT-4o, Claude, Gemini, and open-source (Llama). Your data stays yours. Enterprise API terms, private vector stores, and mutual NDA standard on every project.
Production AI for Real Business Outcomes, Not Demo Slides.
Groke Digital ships agentic automation, RAG chatbots, support agents, outbound AI, LLM integration, and strategy consulting with guardrails, human-in-the-loop, and measurable ROI. This hub routes you to the specialist page that matches your use case.
We have delivered 200+ AI projects for ecommerce, SaaS, and services teams in Canada, the United States, the United Kingdom, and Australia. Model-agnostic architecture on GPT-4o, Claude, Gemini, and Llama. Quote-based scope within 48 hours of discovery.
Six AI Capabilities. One Agentic Core.
Each specialist page covers scope, stack, timeline, and FAQs for that service.
Agentic workflows with n8n, Make, and custom AI agents. Remove repetitive ops, finance, and marketing tasks.
AI automation ?RAG chatbots grounded in your docs and policies. Citations, guardrails, and web or Slack deployment.
RAG chatbots ?AI support agents that deflect tickets, resolve fast, and escalate with context to humans when needed.
AI support ?AI SDR workflows: enrich, qualify, personalize outreach, and book meetings with CRM sync.
AI lead gen ?OpenAI, Claude, MCP, and vector DB integration into your existing SaaS without a full rebuild.
AI integration ?AI readiness, use-case discovery, impact vs effort prioritization, and a 4-week roadmap to first value.
AI consulting ?Automation vs Chatbot vs Support vs Lead Gen vs Integration vs Consulting.
When to use each service. We recommend honestly in discovery based on pain point, data, and team readiness.
| Service | Best for | Typical timeline | Primary outcome | When to choose |
|---|---|---|---|---|
| Automation | Repetitive back-office, ops, finance, marketing workflows | 3 to 4 weeks per workflow | Hours saved, fewer manual errors | Tasks run daily across apps (CRM, email, sheets) and should not need a human click |
| RAG Chatbot | Customer and staff Q&A from your knowledge base | 4 to 6 weeks including ingestion | Accurate answers with citations | Support volume is high but answers live in docs, policies, or product catalogs |
| AI Support | Helpdesk ticket deflection and resolution | 4 to 6 weeks with Zendesk/Intercom | Faster resolution, lower cost per ticket | Tickets are repetitive and you need 24/7 coverage with human handoff |
| Lead Gen | Outbound prospecting, enrichment, qualification | 4 to 8 weeks pipeline build | More qualified meetings booked | Sales team spends hours on research and first-touch email that AI can personalize |
| Integration | Adding AI features to existing software | 1 to 4 weeks per feature slice | AI live inside your product | You have an app or SaaS and need GPT, RAG, agents, or MCP without rebuilding |
| Consulting | Strategy before build, governance, ROI modeling | 2 to 4 weeks assessment + roadmap | Prioritized use-case list | Leadership needs clarity on what to build first and what not to build |
| Not sure? Book a free discovery call. We map use case, data, and compliance before recommending a service. | ||||
Agentic AI, MCP, RAG, and Multi-Agent Systems.
The vocabulary buyers search in 2026. We build production systems around these patterns, not buzzwords.
LLMs connected to tools and workflows so agents complete multi-step tasks: update records, send emails, run reports, with human approval gates where needed.
A standard way to plug AI into your databases, APIs, and internal tools. We build MCP servers so agents access live data safely with audit trails.
Your docs are embedded in a vector store. At query time the model retrieves relevant chunks and cites sources, cutting hallucinations on product and policy questions.
Several agents with narrow roles (research, draft, review) orchestrated by a supervisor. Fits complex ops where one monolithic prompt is not enough.
Built for Production, Privacy, and Measurable ROI.
Private vector stores, enterprise API terms, and optional on-prem Llama. No training on your customer or proprietary data.
GPT-4o, Claude, Gemini, or open-source. We route by cost, latency, and compliance with fallbacks when APIs change.
We only recommend AI where hours saved or revenue gained are measurable. No AI for AI's sake.
Mutual NDAs, human-in-the-loop, audit logs, and prompt guardrails standard on every engagement.
AI Services FAQs.
Get a Free Quote for AI Services.
Free discovery call. We review your use case, data sources, compliance needs, and which AI service fits before any commitment.
Average response: under 4 hours � Serving US, UK, CA, AU
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