Applied AI, deployed
We build and deploy AI systems around your operations.
We find the friction points worth solving in your company, then build AI into the tools and processes your team already uses. Your team stays in control, and the result is measured.
How we help
We turn a recurring business problem into a working AI system.
We understand the job, connect the information it needs, decide where people stay involved, and measure whether the new way works better.
Find the friction
We look at where time is lost, work gets stuck, or important decisions could be better supported.
Fit it into the work
We connect the system to the tools and information your team already uses, so it becomes part of the job rather than another destination.
Keep people in control
We agree on what the system can do on its own, when a person must decide, and how every action can be checked.
Measure what changed
We compare the result with the old way of working, fix what falls short, and expand only when the evidence is clear.
Example deployments
Start with a clear business use case.
A use case simply means one recurring job where AI can save time or improve a decision. It could be replying to property leads, screening applicants, following up with buyers, or tracking competitors.
WhatsApp CRM for real estate
- Operational friction
- Property enquiries arrive at all hours, and the buyer's budget, location, and timeline stay buried in WhatsApp chats. Agents respond unevenly and warm leads are easily forgotten.
- System we deploy
- A WhatsApp assistant connected to the CRM that answers the first enquiry, asks a few useful questions, records the lead, routes it to the right agent, and reminds the team when follow-up is due.
Recruiting screening and coordination
- Operational friction
- Recruiters read the same information across CVs, application forms, and notes, then lose time arranging interviews and updating candidates. Strong applicants wait while the administration catches up.
- System we deploy
- A recruiting assistant that organises each application against the role criteria, prepares a short evidence-based brief for the recruiter, and coordinates the next step once a person approves it.
Sales follow-up and pipeline
- Operational friction
- Salespeople finish calls with useful context in their notes and inbox, but CRM updates and follow-up messages happen late or not at all. Managers then forecast from an incomplete pipeline.
- System we deploy
- A sales assistant that turns meeting notes and emails into a concise CRM update, drafts the follow-up, and flags deals that have no owner, next step, or recent activity.
Marketing and competitive intelligence
- Operational friction
- Teams manually check competitor sites, announcements, campaigns, and customer signals, then spend more time assembling slides than deciding what the changes mean.
- System we deploy
- A research assistant that monitors agreed public sources and internal performance data, groups meaningful changes, links each finding to its source, and prepares a concise weekly brief.
A simple first step
Bring us one recurring job that should work better.
We begin with a focused review. Together, we decide whether AI can make the job meaningfully better, what it would take, and how success should be measured before anything is built.
The job
Who does it, where it gets stuck, how often it happens, and what a better result would look like.
What it needs
The information, software, safeguards, and human decisions the solution would rely on.
The decision
A practical scope, expected cost, main risks, and a clear recommendation to proceed or stop.
Works with your existing systems
The interface is where your team already works.
We connect to established systems of record and collaboration tools, or build a scoped adapter for the specialist software your operation depends on.
Browse the systems catalog
Cloud, private cloud, on-premise, or hybrid, with access scoped to the job.
A scope that fits the company
The same discipline, right-sized for your operating reality.
Company size changes the integration and governance burden. It should not change the standard for production quality.
Remove a painful operational bottleneck.
A focused system for a team with limited technical bandwidth and a clear owner close to the work.
Typical scope: one team, one workflow
Connect work across functions.
A production workflow that crosses systems and teams, with adoption and operating ownership designed in.
Typical scope: one process, several systems
Deploy deeply inside a bounded perimeter.
A division, geography, or critical workflow with explicit security, governance, and change requirements.
Typical scope: focused business unitStart with the work
What is one recurring job your team should not still be doing this way?
Bring the process, the friction, and the constraints. We will give you an honest view of what is worth deploying.