Different problems.
Different builds.
No fixed product. No standard package. A selection of systems we have built around the problem in front of us, from public data and field operations to travel decisions and B2B outreach.
Planning opportunity system.
A biodiversity net gain business was manually working through planning applications to find relevant opportunities. We built the process around the data instead: applications are collected automatically, useful property-developer details are added and the finished records go directly into HubSpot for the team to work from.
- Problem
- Relevant planning opportunities were buried inside a manual review process.
- Build
- Automatic planning-application collection, finding the right developer details and adding them to HubSpot.
- Capabilities
- Public data · web research · company details · CRM connection · automation
Relevant application identified automatically, ready for the property developer details to be added.
A field operations system for site teams.
Workers check in and out through Teams when they arrive at and leave site. Their location is calculated and anything too far from the expected site is flagged. At the end of the week, timesheets are generated and uploaded to Xero, while admin staff only need to review the exceptions.
The same system also watches for site leads who have not submitted required safety reports on time and nudges them every hour until the missing report is dealt with.
- Problem
- Field attendance, timesheets and compliance created repeated admin work and manual checking.
- Build
- Teams check-in/out, location checks, weekly timesheets, Xero upload, issues needing review and safety-report reminders.
- Capabilities
- Microsoft Teams · location checks · process automation · Xero · unusual-case handling · compliance reminders
Site accommodation decision support.
Site workers are assigned to jobs in different locations and some need accommodation for the following week. We built a system that looks at the staff member and job, works out the drive time, determines when staying away makes sense, searches accommodation listings and recommends suitable options to the admin team.
The system does the repetitive research and decision support. Admin keeps the final choice.
- Problem
- Accommodation planning required repeated drive-time checks, listing searches and judgement for each worker and job.
- Build
- Travel-time logic, accommodation scraping and recommendation support for the admin team.
- Capabilities
- Decision logic · drive-time calculation · web scraping · recommendations · human review
From new company to booked conversation.
For a transport-manager business, we built a lead-generation system that finds newly incorporated companies in the right Companies House categories, adds useful contact details and starts personalised outreach using the client's tone and offering.
It checks for replies, categorises the response, updates lead status, manages chasers and can continue the conversation with the aim of moving an interested prospect onto a calendar link. The client steps in when there is a real conversation to have.
- Problem
- Finding new target companies, researching contacts and handling follow-up required constant manual attention.
- Build
- Company discovery, finding missing contact details, personalised outreach, reply sorting, automatic follow-up and calendar booking.
- Capabilities
- Companies House data · company details · personalised outreach · automatic follow-up · reply handling · calendar booking
The common thread is
the problem.
These systems do not belong to one neat software category. That is the point. The useful solution might involve automated web research, a custom interface, direct system connections, fixed business rules, AI, or simply removing one manual hand-off.
We choose the pieces around the job rather than forcing the job into a product.
Your problem probably
doesn't look like these.
Good. Tell us what is actually getting in the way and we will work out what the system should be.