Hours of manual research and scoring reduced to minutes
Credibility dimensions scored automatically, each with source-cited findings
Every finding traceable to a verifiable public research source
Radiate Consulting
Ontario, Canada
Go-to-market and market-entry advisory services
Amazon Bedrock (agent and knowledge base), Amazon S3, Amazon Textract, Amazon SES, Amazon Cognito, Amazon CloudFront, Amazon API Gateway
Radiate Consulting is a go-to-market readiness advisory practice that helps founders and companies establish credibility in new markets. Assessing a client’s market readiness across seven dimensions was a manual process, requiring hours of research and limiting how many clients the practice could serve at once. Avahi built an AI-assisted diagnostic tool, deployed on Radiate Consulting’s own AWS account, that ingests client materials, conducts automated research across the diagnostic dimensions, and generates a structured, citation-backed report in minutes. The result is a scalable, repeatable diagnostic process that preserves Radiate Consulting’s proprietary scoring methodology while freeing up significant advisor time.
Radiate Consulting is a go-to-market readiness advisory practice helping founders, scale-ups, and professionals enter new markets, with a focus on Canada, the United Kingdom, and the United Arab Emirates. The practice has supported more than 100 founders through immigration and market-entry pathways. Radiate Consulting offers two diagnostic products: one for companies and startups entering a new market, and one for individual founders and professionals building a personal brand in a new market or role. Both products produce a scored assessment that anchors deeper advisory engagements.
Every engagement began with a client intake form covering roughly 15 data points, along with supporting materials such as pitch decks and website content. From there, an advisor manually researched each of the seven diagnostic dimensions using a mix of external tools, searches, and professional judgment, then populated a scoring spreadsheet by hand before preparing findings for a client call.
This process was entirely manual and time-intensive. There was no automated way to aggregate client inputs, conduct web-based research, or produce a structured report, which capped how many assessments an advisor could deliver and created a bottleneck ahead of every new client engagement. Left unaddressed, this ceiling on throughput would have limited the practice’s ability to grow beyond what one advisor could research by hand.
Radiate Consulting needed the diagnostic tool hosted within its own environment, keeping client data inside its own account boundary rather than a third party’s infrastructure. AWS’s managed AI and security services made it possible to build a tool that could research, reason over, and score client materials automatically while keeping all processing and storage under Radiate Consulting’s own control.
As a premier tier AWS partner, Avahi brought the technical depth to translate Radiate Consulting’s own scoring methodology and dimension definitions into an automated, AWS-native system, rather than a generic AI overlay. Radiate Consulting needed a partner who could encode years of advisory judgment into a working tool without diluting the framework that makes its assessments credible in the first place.
Avahi built an AI-assisted diagnostic tool, branded internally as the MCS (Market Credibility Score) Diagnostic, deployed directly on Radiate Consulting’s own AWS account. An advisor uploads a client’s intake form responses and supporting materials, such as a pitch deck, through a simple web interface. The system extracts structured content from the uploaded materials and validates that enough information exists to produce a meaningful assessment before proceeding.
At the center of the tool is a versioned knowledge base built from Radiate Consulting’s own scoring methodology, dimension definitions, and anonymized case study references, ensuring every generated report reflects the advisor’s established framework rather than generic output. Using this knowledge base, the system conducts automated public web research across the diagnostic dimensions and produces a structured report with an overall Market Credibility Score out of 100, broken down across seven scored areas: Search Presence, AI Discoverability, Media & Content, Ecosystem & Peer, Narrative, Cultural, and LinkedIn.
Each dimension in the report includes written findings, a note explaining the reasoning behind each answer, and the actual source links the system found, so the advisor can independently verify every result. Where a dimension needs a human judgment call, such as evaluating a founder’s LinkedIn presence, the advisor can add manual input directly in the platform and the system incorporates it into the scoring.
The advisor accesses everything through a dashboard summarizing assessments run, reports generated, average score, and any engagements needing follow-up, with filtering to quickly surface which clients are credible versus which need attention. Once an assessment completes, the advisor can download the full report as a ready-to-use Word document, email it, or delete it, taking it straight into a client findings call.
The diagnostic tool replaced a manual, hours-long research and scoring process with an automated workflow that produces a structured, source-cited report in minutes. Every finding links back to the original research source, giving the advisor a verifiable report to bring directly into client conversations rather than a black-box score. Because the knowledge base is grounded in Radiate Consulting’s own methodology, the automated output reflects the practice’s established framework rather than a generic AI assessment.
Radiate Consulting
Ontario, Canada
Go-to-market and market-entry advisory services
Amazon Bedrock (agent and knowledge base), Amazon S3, Amazon Textract, Amazon SES, Amazon Cognito, Amazon CloudFront, Amazon API Gateway
Radiate Consulting is a go-to-market readiness advisory practice that helps founders and companies establish credibility in new markets. Assessing a client’s market readiness across seven dimensions was a manual process, requiring hours of research and limiting how many clients the practice could serve at once. Avahi built an AI-assisted diagnostic tool, deployed on Radiate Consulting’s own AWS account, that ingests client materials, conducts automated research across the diagnostic dimensions, and generates a structured, citation-backed report in minutes. The result is a scalable, repeatable diagnostic process that preserves Radiate Consulting’s proprietary scoring methodology while freeing up significant advisor time.
Radiate Consulting is a go-to-market readiness advisory practice helping founders, scale-ups, and professionals enter new markets, with a focus on Canada, the United Kingdom, and the United Arab Emirates. The practice has supported more than 100 founders through immigration and market-entry pathways. Radiate Consulting offers two diagnostic products: one for companies and startups entering a new market, and one for individual founders and professionals building a personal brand in a new market or role. Both products produce a scored assessment that anchors deeper advisory engagements.
Every engagement began with a client intake form covering roughly 15 data points, along with supporting materials such as pitch decks and website content. From there, an advisor manually researched each of the seven diagnostic dimensions using a mix of external tools, searches, and professional judgment, then populated a scoring spreadsheet by hand before preparing findings for a client call.
This process was entirely manual and time-intensive. There was no automated way to aggregate client inputs, conduct web-based research, or produce a structured report, which capped how many assessments an advisor could deliver and created a bottleneck ahead of every new client engagement. Left unaddressed, this ceiling on throughput would have limited the practice’s ability to grow beyond what one advisor could research by hand.
Radiate Consulting needed the diagnostic tool hosted within its own environment, keeping client data inside its own account boundary rather than a third party’s infrastructure. AWS’s managed AI and security services made it possible to build a tool that could research, reason over, and score client materials automatically while keeping all processing and storage under Radiate Consulting’s own control.
As a premier tier AWS partner, Avahi brought the technical depth to translate Radiate Consulting’s own scoring methodology and dimension definitions into an automated, AWS-native system, rather than a generic AI overlay. Radiate Consulting needed a partner who could encode years of advisory judgment into a working tool without diluting the framework that makes its assessments credible in the first place.
Avahi built an AI-assisted diagnostic tool, branded internally as the MCS (Market Credibility Score) Diagnostic, deployed directly on Radiate Consulting’s own AWS account. An advisor uploads a client’s intake form responses and supporting materials, such as a pitch deck, through a simple web interface. The system extracts structured content from the uploaded materials and validates that enough information exists to produce a meaningful assessment before proceeding.
At the center of the tool is a versioned knowledge base built from Radiate Consulting’s own scoring methodology, dimension definitions, and anonymized case study references, ensuring every generated report reflects the advisor’s established framework rather than generic output. Using this knowledge base, the system conducts automated public web research across the diagnostic dimensions and produces a structured report with an overall Market Credibility Score out of 100, broken down across seven scored areas: Search Presence, AI Discoverability, Media & Content, Ecosystem & Peer, Narrative, Cultural, and LinkedIn.
Each dimension in the report includes written findings, a note explaining the reasoning behind each answer, and the actual source links the system found, so the advisor can independently verify every result. Where a dimension needs a human judgment call, such as evaluating a founder’s LinkedIn presence, the advisor can add manual input directly in the platform and the system incorporates it into the scoring.
The advisor accesses everything through a dashboard summarizing assessments run, reports generated, average score, and any engagements needing follow-up, with filtering to quickly surface which clients are credible versus which need attention. Once an assessment completes, the advisor can download the full report as a ready-to-use Word document, email it, or delete it, taking it straight into a client findings call.
The diagnostic tool replaced a manual, hours-long research and scoring process with an automated workflow that produces a structured, source-cited report in minutes. Every finding links back to the original research source, giving the advisor a verifiable report to bring directly into client conversations rather than a black-box score. Because the knowledge base is grounded in Radiate Consulting’s own methodology, the automated output reflects the practice’s established framework rather than a generic AI assessment.
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