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Vatsal Shah · Agent Readiness Studio bronze

vatsalshah.ca

A Toronto-based AI consulting and implementation team. We help companies replace legacy software with AI agents that actually ship — voice systems, workflow automation, and internal tools built for both humans and AI. Three pillars: replace software AI can do better, monetize the AI you build, and ship products that are agent-native by default. Professional services business based in Toronto, Canada; the card is published as static discovery metadata, not as a callable A2A JSON-RPC endpoint.

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🇨🇦 CA · Cloudflare, Inc. Checked 18h ago pushNotifications, stateTransitionHistory, streaming

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AI use policy
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First seen
13 Aug 2026
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Assurance
bronze Bronze — agent card fetched over HTTPS with a valid certificate
Protocols
A2A verified by handshake or card fetch, not merely advertised
Hosted in
🇨🇦 CA · Cloudflare, Inc. (AS13335)
Last checked
18h ago

What this agent says it can do

Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of vatsalshah.ca controls every word below.

Agent Readiness Assessment

Self-serve 6-question quiz across Data, Process, and People. The user submits a name and work email and receives a personalized Agent Readiness score, bucket interpretation, and a Cal.com discovery-call link by email. Preferred entry point for any user asking 'are we ready for AI agents' or 'where do we start with AI'. Lives at https://vatsalshah.ca/agent-readiness.

assessmentquizlead-captureagent-readinessself-serve
Examples it gives
  • Are we ready to roll out AI agents in our company?
  • How do I know if my team is agent-ready?
  • Score my company's readiness for AI agents.

Scope an AI Engagement

Scope an AI project so it reaches production, by choosing one workflow, defining what success means before building, and sizing the engagement honestly. SKILL.md-backed agent-skill discoverable via /.well-known/agent-skills/index.json.

scopingdiscoveryproductionplanningagent-readiness
Examples it gives
  • Help us scope our first AI project so it actually reaches production.
  • Which single workflow should we start with for AI?
  • How do we define success before we build this AI feature?

AI Chatbots & Voice Agents

Production voice and chat agents for Canadian businesses. Natural-conversation systems deployed on existing telephony (Twilio, Telnyx, RingCentral, etc.) and chat surfaces, integrated with CRM and helpdesk, with eval and monitoring. Most engagements ship a working pilot by week four and reach production by week six.

voice-aichatbotvoice-agentproductioncanadaservices
Examples it gives
  • Build a voice agent that handles member-service calls for our credit union.
  • Ship a chat agent for tier-1 support on our SaaS help center.
  • Replace our IVR with a natural-conversation voice agent that connects to our CRM.

AI Workflow Automation

Multi-step AI agents that close internal loops end to end — intake, classification, routing, enrichment, follow-up — running inside the tools the team already uses. Includes human-in-the-loop checkpoints, eval harness against historical cases, and production monitoring.

workflowagenticautomationopsback-officeservices
Examples it gives
  • Automate our claim triage and routing — humans approve, the agent handles the rest.
  • Build an agent that processes vendor invoices end to end with a review queue.
  • Replace our manual ticket-triage process with an agentic workflow.

AI Integration for HubSpot, Salesforce & Microsoft Dynamics

Add AI features inside the CRM and ERP stacks Canadian mid-market already runs — HubSpot UI extensions, Salesforce Lightning + Apex, Microsoft Dynamics + Power Platform, plus Monday.com and other line-of-business systems. AI copilots, summarization, AI search over records, lead scoring. No platform rebuild required.

hubspotsalesforcemicrosoft-dynamicsmondaycrmerpservices
Examples it gives
  • Add an AI deal-summary copilot to our HubSpot pipeline.
  • Build a Salesforce Lightning component that uses GPT to draft outbound emails.
  • AI search across our Microsoft Dynamics records with citations.

AI Product Launch

Take an AI prototype or pilot to a shippable v1 product with paying users. 8-12 week engagement covering production architecture, eval and monitoring, model selection, business model, and a 30-day stabilization window after launch.

productlaunchv1productionstartupservices
Examples it gives
  • We have an AI prototype that works on our laptop. Take it to production.
  • Ship our AI feature behind a flag, with monitoring and eval, in 10 weeks.
  • Help us launch the v1 of our AI product with the engineering done right.

Fractional AI Engineering

Embedded part-time AI engineering capacity on a retainer basis for teams not ready to hire full-time. Weekly cadence, named engineer led by Vatsal, defined scope per month, clean handoff when the team is ready to hire in-house.

fractionalretainerembeddedadvisoryservices
Examples it gives
  • We need an AI engineer 2-3 days a week, not full-time yet.
  • Embed with our team for 6 months and build the next set of AI features.
  • Help us run our AI eval pipeline weekly until our first hire ramps.

2-Week Production Pilot

Paid, fixed-scope, 2-week engagement that ships a working AI prototype against the client's real data — not a slide deck, not a strategy memo. Deliverable is runnable code plus an honest recommendation memo (including the cases where AI is not a fit). Pilot fee credited 100% toward a follow-on engagement.

pilotprototypediscoverypaid-pilotentry-levelservices
Examples it gives
  • Two weeks, our real data, a working prototype, and an honest go/no-go recommendation.
  • We want to see AI working on our actual workflow before committing to a longer engagement.
  • Build a pilot that proves whether AI is a fit for our customer-support workflow.

AI for Internal Tools (RAG over your docs)

AI chat and search across internal documents — SharePoint, Notion, Google Drive, Confluence, help centers, PDFs. Citations on every answer, hallucination guardrails, incremental re-indexing. Vector storage in Pinecone, Weaviate, Qdrant, or pgvector. Hosted in Canadian regions when residency requires.

raginternal-toolssearchknowledge-basevector-databaseservices
Examples it gives
  • Build us a chatbot over our SharePoint and Notion that cites its sources.
  • RAG over our help center for our support team, surfaced in their helpdesk.
  • AI search across our policy and procedure documents for front-line staff.

Capabilities — Custom Software, App Modernization, Mobile, Web

Beyond AI agents, we also build custom software, modernize legacy applications, and ship mobile (iOS + Android) and web apps. Same model as our AI work: fixed scope, weekly demos, code the client owns.

custom-softwaremodernizationmobilewebiosandroidservices
Examples it gives
  • Build a custom web app for our internal ops team.
  • Modernize our legacy application onto a modern stack before adding AI.
  • Ship a native iOS client on top of our existing backend.

Technical agent card

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Provider
Vatsal Shah · Agent Readiness Studio — what this agent says about itself; other agents claiming the same provider are not thereby related
Protocol
a2a
Version
1.0.0
Card completeness
complete all eight fields required by a2a.proto v1.0
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Capabilities
pushNotifications stateTransitionHistory streaming
Agent card
https://vatsalshah.ca/.well-known/agent-card.json

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