Client review
Turning manual tasks into AI workflows
Beyond building AI agent workflows, they consistently demonstrated exceptional customer orientation, flexibility, and support, making the implementation process smooth and collaborative.
Get a custom AI agent built around your routines, helping you get tasks done,
save time, and make more from your work.
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For a software development agency in the UK, we built an agent that turned meeting notes and client emails into tasks with clear owners and deadlines. It followed up when work fell behind, suggested next steps when something blocked the team, and prepared the weekly client update for review.
Other workflows we can build: Set up new client projects · Turn client feedback into assigned work · Prepare project handovers
For a multi-location restaurant group in Canada, we built an agent that checked stock levels, supplier updates, and delivery dates. When something ran low, it prepared a purchase order and sent it to the manager for approval. Once approved, it placed the order, tracked the delivery, and followed up with the supplier if anything changed.
Other workflows we can build: Fill gaps in staff schedules · Resolve booking conflicts · Follow up until customer complaints are resolved
For an industrial equipment service company in the US, we brought its customer, equipment, service history, contract, and supplier records into one linked database. Staff could find and update records through simple forms, ask questions in plain language, and receive reminders before renewals or scheduled maintenance were missed.
Other workflows we can build: Track equipment service history · Prepare quotes using past jobs · Answer staff questions from company procedures
For a multi-location medical aesthetics group, we built an agent that ran the full Meta ads cycle on its own. It studied real customer questions, past campaign results, and competitor ads, then created new image and video ads in the brand's style. It launched them, tracked which ones produced booked treatments, stopped weak ads, moved more budget to the winners, and used the results to create the next round.
Other workflows we can build: Run Google Ads toward booked appointments · Re-engage leads who did not book · Turn common customer questions into new landing pages
For a cybersecurity consultancy in the UK, we reorganized its website around the questions potential clients were asking and the services the company wanted to grow. We made those services easier for AI assistants to find and cite, made the website ready for AI agents to use, and tracked where the company appeared compared with its competitors.
Other workflows we can build: Turn expert knowledge into useful website content · Launch new services or locations with the right pages · Keep company information consistent across the web
For a commercial cleaning company in Canada, we built an agent that found companies matching its target market, identified the right decision-makers, and checked recent company activity for a real reason to reach out. It removed duplicates and existing clients, wrote a message based on each lead's situation, sent approved outreach, updated HubSpot, and alerted the sales team when someone showed interest.
Other workflows we can build: Find posts worth commenting on · Increase company page activity · Spot target companies that are hiring or opening new locations
The prices above are what those projects cost. Your quote depends on your tools, volume, access, and support needs.
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Beyond building AI agent workflows, they consistently demonstrated exceptional customer orientation, flexibility, and support, making the implementation process smooth and collaborative.
FAQ
Think of it like locking your car, parking it in a garage, and not leaving valuables inside: each layer adds protection. We limit what the agent can access, define what it can do, and keep activity logs. Because AI can sometimes respond differently to the same instruction, we add guardrails around important actions to keep the workflow within clear boundaries.
Once the first workflow is implemented, adding the next one is usually faster. If several are needed from the start, we can include them in one offer.
That timeframe begins once the scope, examples, and access are ready. It gives us time to build the first version and test it on sample tasks before we review it with you.
We use this context to understand what you want to achieve, identify what is worth automating, and guide you through the next steps.
That includes modern platforms, specialized business software, and older systems. We choose the most practical way to connect the agent to the tools your workflow depends on.
Your server and business data also remain under your control throughout the project. We only work through the access you provide and limit that access to what the workflow needs.
Tools, access, and business processes change after launch. With maintenance, we monitor the agent and its connections every week, run security and access checks, fix broken connections, update prompts and workflows, and make small improvements as your business evolves. This ongoing care keeps the agent running smoothly without requiring your team to monitor and troubleshoot it.
The only separate costs are LLM usage, hosting, and third-party subscriptions. These are paid to their providers, not to us. We’ll recommend the model and usage options that best suit your workflow, so you know what to expect before launch.