Eliminate Operational Overhead with an Enterprise AI Productivity Platform
Industry AI, built around
AI Solutions Delivered
Client Retention
Industries Served
Enterprise Clients
What is an Enterprise AI productivity platform?
AI that removes overhead,
not another tool to manage
The overhead is enormous and measurable
Compounding across teams and functions
Platform deployment multiplies the gains
The window is closing rapidly
One Platform: Two Purpose-Built AI Tools
Mail Bot
AI Email Automation for Enterprise
Workweek reclaimed from email
Five Core Capabilities
- AI-Powered Email Triage: Automatically classifies, categorises, and routes every inbound email using NLP before your team even opens their inbox.
- Smart Prioritisation Engine: Scores email urgency based on sender, content, and behavioural signals, delivering over 90% prioritisation accuracy.
- Contextual Response Drafting: Generates response drafts using your email history, conversation context, and CRM data, ready for one-click approval.
- Sentiment Detection & Escalation: Identifies frustration and risk signals in real time, helping teams resolve issues before they become formal complaints.
- Workflow Automation: Automatically triggers CRM updates, helpdesk tickets, and business workflows based on predefined email conditions.
AssistBot
AI Virtual Assistant
An AI-powered enterprise assistant for tasks, knowledge, scheduling, decisions, and workflow automation.
Manual task overhead eliminated
Reclaimed every week from scheduling
Five Core Capabilities
- Conversational Task Execution: Complete tasks across Salesforce, Jira, Workday, Slack, Microsoft Teams, and more than 200 integrated platforms using natural language.
- Instant Knowledge Retrieval: Find information instantly with RAG-powered search across connected enterprise data, complete with source-backed answers.
- Intelligent Scheduling & Calendar Management: Schedule, reschedule, and coordinate meetings across multiple participants in a single request.
- Decision Support & Contextual Recommendations: Pull together cross-system context and receive AI-powered recommendations in under 60 seconds.
- Enterprise Workflow Automation: Create and execute multi-step workflows through natural language, with full auditability and no development effort.
MailBot + AssistBot: Better Together
When deployed together, AssistBot becomes the conversational interface for MailBot’s email intelligence. Employees can review inbox priorities, query email status, approve AI-generated responses, and trigger email workflows through the same natural language interface they use for everyday work.
From the first conversation to live AI in four clear phases
Both MailBot and AssistBot follow the same four-phase deployment process: deploy one tool first or both in parallel; the phasing works either way. Every phase is validated against agreed performance benchmarks before moving forward, and nothing scales until pilot results prove the model works in your environment.
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01
AI Productivity Audit – Phase 01
We map email volumes, cross-system workflows, knowledge sources, scheduling overhead, and integrations, then identify where MailBot and AssistBot deliver highest ROI and recommend optimal deployment priorities.
You leave with a costed deployment plan covering which tool to deploy first, priority pilot use cases, required integrations, realistic performance benchmarks, and a timeline to first results. -
02
Configuration & Training – Phase 02
MailBot is configured with triage rules, prioritisation scoring, sentiment thresholds, and workflow triggers tailored to your contact hierarchy and brand voice. AssistBot connects to existing enterprise data sources and trains on your knowledge base.
Both tools are validated end-to-end with your team before any production traffic is processed, with sign-off required before go-live. -
03
Pilot & Go-Live – Phase 03
Each tool launches as a defined pilot, such as a specific inbox category for MailBot or a department for AssistBot, with performance measured against agreed benchmarks from day one.
Initial results, including time saved, SLA improvements, and triage accuracy, are typically visible within the first week. Expansion is driven by performance, not fixed timelines. -
04
Optimise & Scale – Phase 04
Both tools continuously learn from live operational data, improving triage accuracy, draft quality, retrieval precision, and workflow reliability with every cycle. No manual retraining projects are required.
Monthly reports transparently track every agreed KPI, including time saved, SLA improvements, automation rate, accuracy, adoption, and scheduling efficiency.
Built for enterprise deployment,
not enterprise experimentation
Three Foundational Principles
Integration-First Architecture
Outcomes Agreed Pre-Deployment
Continuous Improvement
Six platform differentiators
01
30-day first deployment
02
Enterprise security & compliance
03
Humans are always in control
04
Measurable from week one
05
200+ native integrations
06
Platform synergy
Enterprise AI Productivity across three regions
Six years of AI Solution engagement across global markets, with expertise in local time zones, regulations, and stakeholder expectations.
Frequently Asked Questions
MailBot automates email triage, prioritisation, response drafting, sentiment detection, and workflow triggers. AssistBot is a conversational AI assistant that handles tasks, retrieves information, manages schedules, and automates workflows across connected platforms.
Both MailBot and AssistBot follow a four-phase process: Audit, Configuration & Training, Pilot, and Scale. The first live deployment is typically operational within 30 days of kickoff, with initial measurable results visible within the first week of pilot operation.
Yes. Both tools are intelligence layers over your existing stack, not replacements. MailBot integrates natively with Gmail, Outlook, and Microsoft Exchange, plus your CRM and helpdesk platforms. AssistBot connects to Slack, Teams, Salesforce, Jira, ServiceNow, Workday, and 200+ platforms via API. No rip-and-replace required.
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