AI Agents & Chatbots
Channels: WhatsApp, Web, Facebook/IG, SMS, Voice
Conversational AI that interacts, assists, and acts — across every channel your customers use.
Each agent is trained on your company data, integrated with your systems, and capable of handling real-world requests such as bookings, orders, support tickets, or sales follow-ups
Customer Support Agent
Automates FAQs, status checks, and service requests. Integrates with helpdesk (Odoo Helpdesk, Zendesk, Freshdesk).
Example : Retailer’s WhatsApp bot handles order requests and responds to queries automatically.
Sales & Lead Agent
Captures leads, qualifies them, and books appointments or demos.
Example : Real estate WhatsApp agent asks budget, location, and sends available listings instantly.
Knowledge Base Agent (RAG)
Private “company brain” that answers from your manuals, SOPs, and documents using secure retrieval-augmented generation (RAG).
Example : Energy company field staff query “How to reset model X pump controller?” directly via chat.
E-Commerce Concierge
Personal shopping assistant that recommends products and handles orders via WhatsApp, webchat, or voice.
Example : Boutique clothing brand lets customers browse, check sizes, and order directly via chat.
Customer Support Agent
Automates FAQs, status checks, and service requests. Integrates with helpdesk (Odoo Helpdesk, Zendesk, Freshdesk).
Example : Retailer’s WhatsApp bot handles order requests and responds to queries automatically.
Value Proposition
24/7 instant engagement
60–80 % reduction in manual support workload
20–30 % increase in lead conversions
Consistent brand voice and service quality across channels
Automations & RPA‑Lite
Focus: Removing repetitive manual tasks through lightweight process automation.
Streamline your back-office operations, customer management, and compliance workflows with smart automations that integrate your existing tools — no heavy RPA licenses required.
Each automation is built using n8n or custom Python/JS scripts, fully hosted and monitored for reliability.
Workflow Automations
End-to-end process automation — from customer intake and approvals to invoicing and notifications — using n8n or Python-based workflows.
Example : A service provider automates quote → approval → invoice → payment receipt → confirmation email, cutting administrative time by 70 %.
Document & Data Extraction Bots
Reads and extracts structured data from invoices, receipts, and reports, pushing results to ERPs or spreadsheets automatically.
Example : A logistics firm’s automation scans supplier invoices and updates shipment and cost data in Odoo without manual entry.
Email & Message Automations
Automatically sends emails, SMS, or WhatsApp messages based on triggers such as due dates, missed payments, or new orders.
Example : An accounting firm automatically sends VAT and tax filing reminders to all clients with personalized WhatsApp notifications.
Sync & Integration Bridges
Connects multiple platforms — Odoo, QuickBooks, Google Sheets, HubSpot, and others — ensuring data consistency across systems.
Example : A retail group’s daily sales sync automatically from the POS to Odoo and Google Sheets for instant management visibility.
Approval & Compliance Flows
Automates approval processes with simple human-in-the-loop steps accessible through chat or web forms.
Example : A manager reviews and approves purchase orders from WhatsApp, triggering automatic updates in their ERP system and notifying suppliers.
Bootstrap-Based Templates
Design Odoo templates easily with clean HTML and Bootstrap CSS. These templates offer a responsive, mobile-first design, making them simple to customize and perfect for any web project, from corporate sites to personal blogs.
Value Proposition
30–60 % time savings in repetitive tasks
Near-zero data entry errors
Seamless system integration without big-ticket RPA software
Instant ROI via reduced admin hours
Data & Analytics
Focus: Turning raw data into real-time business insight and predictive intelligence.
Collect, clean, and visualize your data from every source — POS, ERP, CRM, social media, or sensors — and apply AI models to forecast trends, detect anomalies, and optimize performance.
Built using open-source BI stacks (Postgres + dbt + Metabase) and custom machine-learning pipelines when required.
BI Starter Kit
Builds a central reporting layer combining data from POS, ERP, and CRM into visual dashboards using open-source BI tools.
Example : A fuel distributor tracks daily station sales, gross margins, and delivery KPIs in one interactive dashboard.
AI Forecasting Models
Machine-learning models that predict sales, demand, customer churn, or maintenance schedules to aid proactive decision-making.
Example : A wholesaler forecasts next-month product demand per region and adjusts procurement before shortages occur.
Customer Analytics Suite
Analyzes customer behavior, segments audiences (RFM, lifetime value), and identifies opportunities for targeted marketing.
Example : A hospitality group segments repeat guests by spend and frequency, automatically triggering tailored loyalty offers.
Operations Dashboard
Consolidates performance data — finance, inventory, and workforce metrics — into one live dashboard with automated alerts.
Example : A healthcare clinic monitors daily patient visits, billing totals, and lab turnaround times in real time.
Data Quality & Governance Toolkit
Implements automated validation, anomaly detection, and data lineage to ensure accuracy, compliance, and reliability.
Example : An energy company tracks and audits all regulatory data submissions to meet compliance requirements seamlessly.
Value Proposition
Single source of truth for your business data
Real-time visibility into KPIs
AI-driven forecasts improve planning accuracy by 20–40 %
Dashboards you actually understand and use
Managed Services (MSP-AI)
Focus: Continuous AI management, monitoring, and improvement for businesses that want “AI without the maintenance.”
A subscription-based service where we operate, monitor, and evolve your deployed AI systems — from chatbots to automations to analytics — ensuring uptime, accuracy, and compliance.
You focus on your business; we handle the AI lifecycle.
AgentOps (AI Operations Management)
End-to-end monitoring, evaluation, and tuning of deployed chatbots and virtual agents. Ensures uptime, accuracy, and prompt updates.
Example : A retail brand’s WhatsApp bot is evaluated weekly for conversation quality and retrained automatically to improve performance.
AutomationOps
Management and maintenance of automations and workflows, including error recovery, retry handling, and SLA tracking.
Example : A manufacturing company’s nightly reporting workflows are maintained under SLA with instant alerts for failures.
ContentOps (AI Content Studio)
Full AI-assisted content management — from ideation and generation to scheduling and performance tracking.
Example : A restaurant chain receives AI-generated social posts and weekly analytics summaries, maintaining constant online engagement.
MLOps-Lite
Lightweight lifecycle management for smaller machine-learning models — versioning, retraining, and monitoring without heavy infra.
Example : An industrial operator retrains its predictive maintenance model monthly as new sensor data arrives.
AI Security & Compliance Auditing
Regular audits of AI agents and automations for data privacy, access control, and responsible-AI compliance under T&T laws.
Example : A healthcare provider’s patient-facing chatbot passes monthly data-protection audits, ensuring full compliance with the DPA.
Value Proposition
Always-on AI reliability without in-house staff
Predictable monthly costs (retainer model)
Continuous Improvement — bots and automations get smarter each cycle
Compliance and governance handled proactively