Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
SMART Email brings together powerful machine learning algorithms with human parity conversational AI to reduce pressure on your email inboxes. It can be deployed in your organisation to actively deflect inbound emails. By understanding meaning and intent, your inbound emails are intelligently triaged without the need for agent intervention.
Our SMART Email solution works best when combined with a powerful web based AI assistant that the user can be pointed towards to seek further help as part of an ongoing conversation. The web based assistant (SMART Chat) can be integrated into your other systems allowing increased automation and self service by your customers.
Show the rest of the publisher’s description (18 more lines)
How it works
- We work with your team to identify your email types based on volume, complexity and resolution. These are then categorised so we can train our machine learning models to identify these at close to 100% accuracy.
- Once we're happy with these results we work collaboratively to identify how best to deflect each email category. Our AI then sends an automatic response in seconds with a text based answer, link to a local knowledge base or link to a third party resource.
- For more complicated processes we can deflect the user with a link to a human parity web based assistant (SMART Chat) that comes pre-loaded to answer or further support the user through to resolution.
- After the setup is tested thoroughly and all parties are happy we can start deflecting your emails in real time and work through backlogs.
- Once deployed our AI continues to improve as part of a supervised learning SMART Mesh of interconnected AI assistants.
Benefits
- Reduced email volumes: Less emails reach your inbox as the AI knows how and where to direct the user. Only get the emails that matter.
- Quicker resolutions: As users self serve and are directed to the best answer, queries are resolved in minutes with no wait times.
- Reduced costs: Save on man hours dedicated to first line support. Build your infrastructure plus help with retention and satisfaction of staff.
- Improved user experience: Waiting times in hours and days become a thing of the past. Keep users on track with immediate and accurate support.
Features
- Pre-trained in user intents across hundreds of topics with thousands of variations. Little training time or build time needed.
- Human parity AI understanding of natural language, understanding 90% of questions correctly without further clarification.
- Supervised learning through our SMART Mesh network of connected AI Assistants that learn from each other.
- Customised responses depending on best answer available; written response, link to knowledge base, link to relevant third party site or link to web based AI Assistant
- Ethics and chit chat subsystems that protects your users and organisation equally to improve outcomes.
- Integrated into your other systems for increased automation. Read and write data into your CRM, ticketing systems and other cloud based systems
Preview
2 imagesAgent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

