At a glance
- Client: UK professional body, membership and programme-led, small central team.
- Brief: serve members faster without growing headcount, and show the impact of the organisation's work with evidence.
- Engagement: discovery sprint, platform build in fortnightly increments, then run and evolve.
- Services: AI Readiness, Platforms & Process.
The situation
Membership bodies run on relationships and records. This one had both in abundance: years of member history, a CRM nobody fully trusted, programme data in spreadsheets, and a team spending most of its week on administration rather than on members.
The board wanted two things. Members should get faster, more personal service without a bigger team. And the organisation should be able to show funders, members and the board what its work achieves, with evidence rather than anecdote.
The challenge
- Member, donor and programme data lived in separate systems with different definitions of the same person.
- Staff answered the same questions by hand, hundreds of times a month.
- Impact reporting took weeks each quarter and was out of date on publication.
- Any new technology had to be adopted by a team with no in-house engineers, and had to protect sensitive member data.
What we did
Built one view of the member. A data pipeline that connects the CRM, finance and programme systems, validates records on the way in, and gives staff a single, current picture of each member and donor.
Put AI where it earns its keep. Models that score engagement and renewal risk, draft personalised communications for staff to approve, and route incoming enquiries to the right person with the context attached. People stay in the loop wherever judgement matters.
Automated the reporting. Programme tracking and impact dashboards that update as data arrives, so the quarterly report became a live view and the quarterly scramble disappeared.
Matched volunteers to need. Scheduling and allocation that pairs volunteers with opportunities on skills and availability, instead of on who replied first.
Designed for the people using it. Discovery with staff, volunteers and members. Wireframes tested before build. Field testing with the real team. A training and handover plan so the platform is owned in-house.
What changed
- Routine member enquiries are triaged and answered by the system, with staff handling only the conversations that need a person.
- Leadership sees programme performance and member engagement as it happens, rather than at quarter end.
- Impact evidence for funders and the board is produced from the system, not assembled by hand.
- The organisation now has a data foundation it can keep building on, with governance that protects member trust.
"One of the few agencies that I have used that really sees the big picture."
Chief Executive, UK professional body
Why it worked
The technology was the easy part. The work succeeded because we started with the organisation's mission and operating constraints, chose the few places where AI genuinely changed the economics of the work, and built for adoption from day one. Enterprise capability, delivered at a scale a membership body can sustain.
