FAQs

AI automation uses AI models and tools to handle tasks that are currently manual, repetitive, or slow. It can help you reply to customers faster, qualify leads automatically, reduce data entry, and make your workflows more accurate and efficient so your team can focus on higher value work.

Common areas include customer support, lead generation, email and WhatsApp campaigns, social media, HR processes, finance and accounting, e-commerce operations, and internal reporting. We usually start by mapping your current workflows, then design AI automations where the time savings and impact are highest.

Yes. A lot of our work is with small and medium businesses that need practical automations, not massive enterprise projects. We typically start with a small, focused use case, prove value quickly, then expand to other processes.

No. We design and set up the automations for you. Where possible, we use no-code or low-code tools with simple dashboards so your team can trigger workflows, see logs, and make basic changes without writing code.

Yes. We connect AI models to your current stack through APIs and automation tools. Typical integrations include CRMs, ticketing systems, e-commerce platforms, spreadsheets, marketing tools, and communication channels like WhatsApp, email, and social media.

In customer support, AI can triage and answer common questions, collect key details, and route complex issues to the right person with full context. For lead generation, it can qualify leads based on rules and conversation, enrich data, send follow-ups, and keep your pipeline moving without manual chasing.

Yes. AI can draft and personalise messages, schedule posts, segment audiences, and trigger campaigns based on user behaviour. It can also help create content outlines, captions, and variations while still keeping a human in the loop for final approval.

We tailor automations to your industry and use case. That can mean order and inventory flows for e-commerce, data checks and reports for finance, onboarding and paperwork for HR, or documentation and scheduling support for healthcare. The core approach is the same: map the process, then design AI steps that are safe and reliable.

We only connect to the systems and data you authorise. Data is transmitted over secure channels, and we follow best practices around access control, logging, and retention. For sensitive industries, we can design workflows that limit where data is processed and stored, and we will align with your internal compliance requirements.

Pricing usually depends on the number of workflows, integrations, and complexity. Often there is an initial setup fee to design and build the automations, followed by an optional monthly fee for monitoring, updates, and support. After a quick discovery call we can estimate costs and suggest a sensible starting package.

We look at time saved per task, error reduction, and the impact on revenue or customer experience. For example, if a workflow saves your team a few hours every week or recovers leads that would have been lost, we quantify that into an estimated monthly value and compare it to the cost of building and running the automation.

Yes. The usual approach is a small pilot around a clear process, such as one support workflow or one lead pipeline. This lets you see the results with real data before committing to a larger rollout.

An AI workflow is an end-to-end sequence of steps that combines AI models with your business logic and tools. Instead of a single automation rule, it orchestrates multiple actions like reading data, calling AI models, making decisions, updating systems, and notifying people, all in one connected flow.

Yes. We start by mapping your current process step by step, then identify where AI can add value, such as classification, summarisation, drafting, or decision support. Based on that map, we design a workflow that runs reliably and plugs into the tools you already use.

We aim to keep management simple. Once workflows are live, you can usually monitor them through a dashboard, view logs, and adjust basic settings like triggers or thresholds. For structural changes and new workflows, our team can support you or work with your internal tech team.

Yes. We typically run workflows in the cloud and connect them to your CRMs, databases, storage, and analytics or BI tools using APIs. This lets data flow smoothly between systems and keeps everything in sync.

We design workflows with proper authentication, access control, and logging. We add validation checks, retries, and alerts so you know if something breaks. Where needed, we can restrict which data goes to external AI providers, or use self-hosted models for more control.

Yes. We review your current processes and rule-based automations, then gradually replace the most painful parts with AI-powered steps. The goal is to keep what already works while upgrading the parts that are slow, error-prone, or too manual.

We can work with your leadership and ops teams to identify the best starting points, prioritise use cases, and design a roadmap. This usually includes a sequence of quick wins and a longer term plan for standardising AI workflows across teams.

After launch, we can help monitor performance, fine-tune prompts or models, update integrations when your tools change, and add new steps as your processes evolve. Support can be project based or on a monthly retainer, depending on how much ongoing help you want.