Our Services

AI manages inboxes by categorising and prioritising emails by content, sender, and urgency.
It filters spam, highlights critical messages, and drafts routine replies, saving time. Learning user preferences, it personalises organisation and suggests follow-up times.
For calendars, AI schedules meetings by analysing availability and time zones, minimising conflicts, suggesting times, sending reminders, and adjusting appointments. It integrates Inbox and calendar to identify tasks and deadlines, auto-creating calendar entries to improve time management.
AI inbox and calendar management boosts productivity by filtering urgent emails and reducing distractions. It optimizes scheduling by analyzing availability and preferences, auto-suggesting meetings, sending reminders, and adjusting appointments.
This eases cognitive load, limits conflicts, and enhances time use. Integration with other tools automates routine tasks, allowing employees to focus on higher-value work.
Ultimately driving better decision-making and increased efficiency.

AI data cleanup automates detecting, correcting, or removing inaccurate, incomplete, or irrelevant data to improve quality. Steps include:
- Data profiling to find anomalies, duplicates, missing values, and outliers
- Error detection using rules, ML, or NLP for typos and format issues
- Automatic correction and standardisation of errors and formats
- Deduplication by merging similar records
- Estimating missing data via regression, classification, or interpolation
- Validation against external sources for accuracy
This automation reduces manual work and errors, enhancing data quality for better analysis and decisions.
AI data cleanup improves data quality by automating error, inconsistency, and duplicate correction. It reduces manual work and speeds up preparation for analysis or machine learning. Advanced AI handles large data accurately and consistently, outperforming traditional methods. Effectiveness depends on AI model quality, data complexity, and use case. AI detects patterns and anomalies missed manually but may need human oversight for nuanced corrections. Integrating AI cleanup boosts data reliability, operational efficiency, and decision-making.

An AI sales chatbot uses natural language processing and machine learning to engage customers in real-time, understand intent, and provide relevant responses.
It qualifies leads, recommends products, and handles common queries without human help. Integrated with CRM systems, it updates profiles and tracks interactions for personalized follow-ups.
Operating across websites, messaging apps, and social media, it automates tasks, boosts productivity, shortens sales cycles, and improves conversion rates.
An AI sales chatbot boosts sales and customer engagement by offering 24/7 instant responses, reducing wait times, and capturing leads outside business hours.
It handles multiple interactions simultaneously, provides consistent information, automates follow-ups, and gathers data to personalize sales strategies.
Integration with CRM systems enables seamless customer management. While best for routine queries, combining AI with human support ensures effectiveness for complex issues.
Overall, AI chatbots improve conversion rates, customer satisfaction, and reduce costs.

Creating AI-driven ads involves key steps:
Audience Analysis: AI reviews data (social media, site, purchases) to identify target groups and preferences for relevant messaging.
Personalisation: Machine learning customises headlines, images, and offers per user or segment, boosting engagement.
Content Generation: AI swiftly produces varied ad copy for A/B testing.
Visual Design Automation: AI tools optimize visuals—colors, layouts—to suit audiences and platforms.
Platform Optimisation: AI adapts ads to social, search, or display channels based on trends and performance.
Performance Monitoring: AI tracks metrics in real-time, adjusting bids, targeting, and content to improve ROI.
Compliance and Brand Consistency: AI ensures ads meet legal and brand standards.
Together, these AI functions create targeted, relevant, and adaptive ads that efficiently achieve marketing goals.
AI ad creation streamlines advertising by using machine learning to produce personalized ads that boost engagement and conversions.
It quickly generates and optimizes multiple ad versions based on real-time data, cutting time and costs.
While AI may miss some creativity and emotional depth, combining it with human insight often delivers the best results. Overall, AI ad creation enhances marketing efficiency and reach.

AI appointment setting automates scheduling with algorithms and natural language processing. It syncs calendars and communication tools to check availability in real time.
Upon client requests, it suggests time slots and manages two-way communication via email, chatbots, or voice assistants to confirm, reschedule, or cancel meetings. This reduces errors, avoids conflicts, saves staff time, and personalizes interactions to enhance customer experience.
An AI appointment setter streamlines scheduling by automating calendar coordination, reminders, and rescheduling, reducing staff workload. Available 24/7, it improves response times and serves clients across time zones.
It follows up with leads to cut no-shows and boosts attendance. Integration with CRM and calendar systems ensures data accuracy and real-time updates. Scalable for fluctuating appointment volumes, its effectiveness depends on natural language processing quality. Complex or empathetic interactions may still require humans.
Overall, it offers a cost-effective, reliable way to manage appointments, increase productivity, and enhance customer experience.

AI agents autonomously perform tasks by perceiving their environment, processing data, deciding actions, executing tasks, and learning from feedback.
They gather input (text, images, commands), analyze it with machine learning or rules, choose actions via predictive analytics or optimization, and act—such as sending alerts or automating workflows.
Continuous learning refines their performance, enabling efficient, automated decision-making in business.
AI agents boost productivity by automating routine tasks, allowing employees to focus on strategic work. They enhance decision-making with fast data analysis and improve customer engagement via personalized, timely interactions, increasing satisfaction and loyalty.
They also reduce errors and costs through workflow automation. Success depends on proper integration, data quality, and management to align with goals.
Overall, AI agents are vital for optimizing business performance and fostering innovation.

Whatever it is, What ever you need, rafikiai has you covered