The situation
Our client is a strategic corporate partner whose operations had grown far more complex than the tools running them. Different teams used different platforms, a sales tool here, a spreadsheet there, a third-party service for delivery, and email holding the whole thing together. None of these systems talked to each other, so people did.
Every day, staff re-keyed the same information from one platform into another: a lead captured in one system, retyped into a tracking sheet, copied again into the delivery tool, and summarised by hand for the weekly report. Each hop was a chance to introduce an error, and errors were common, mismatched records, duplicated leads, and numbers that didn't reconcile between systems.
The cost wasn't only the wasted hours; it was the blindness. Because data lived in fragments across disconnected tools, leadership couldn't get a straight answer to basic questions, how many leads are in the pipeline right now, which are stalling, how is delivery tracking against target, without someone spending a day assembling a spreadsheet that was already out of date by the time it was read.
"We were making decisions on numbers that were a week old and half-wrong. Everyone knew the manual process was the problem, we just didn't have the system to replace it."
Operations Director, Strategic Corporate PartnerThe discovery phase
We started by mapping how data actually moved through the business, every system, every hand-off, and every point where a human retyped something a machine could have carried. What we found:
- Fragmented systems: four core platforms plus several spreadsheets, none integrated, each holding a partial version of the truth.
- Manual re-entry: roughly 34 hours a week across the team spent copying data between tools rather than acting on it.
- Data quality: frequent duplicates, mismatched records, and reconciliation gaps that eroded trust in every report.
- Lead leakage: no single pipeline view, so leads stalled or slipped through the gaps between systems unnoticed.
- Reporting: weekly reports assembled by hand, days old on arrival, and impossible to drill into.
Before and after
- 4 disconnected platforms plus spreadsheets
- ~34 hrs/week re-keying data by hand
- Frequent duplicates and reconciliation gaps
- No single view of the lead pipeline
- Weekly, hand-built, days-old reports
- Decisions made on stale, partial data
- One bespoke CRM as the source of truth
- Data flows automatically between systems
- 92% fewer data errors, deduped on entry
- Full pipeline visibility with stage alerts
- Live KPI dashboards, always current
- Leadership decisions on real-time data
What we built
1. A bespoke CRM as the single source of truth
Rather than force the business into an off-the-shelf tool, we designed and built a custom CRM around how the team actually works. It became the system of record, every lead, contact, deal, and delivery milestone in one place, with a data model that fit their operations instead of fighting them. Records are validated and deduplicated on entry, so the "same lead in three systems" problem simply stopped existing.
2. An automated lead pipeline
We built an automated lead pipeline on top of the CRM: new leads are captured, scored, routed to the right owner, and moved through defined stages without anyone copying anything. Stalled leads surface automatically with alerts, so nothing sits untouched between systems anymore. The pipeline is now a single, live view instead of a reconstruction someone builds on Friday afternoon.
3. Seamless API integrations across the stack
The heart of the project was connecting the previously disparate tools. We engineered API integrations linking the CRM to the client's third-party delivery and communication platforms, so data written in one place propagates everywhere it's needed, automatically, in near real time. The 34 hours a week of manual re-entry disappeared because the machines started doing the carrying.
4. Real-time KPI dashboards & reporting
To turn all that connected data into decisions, we deployed KPI dashboards tailored to the client's specific operational metrics, pipeline value and velocity, conversion by stage, delivery against target, and platform usage. The dashboards update in real time and let leadership drill from a headline number down to the underlying records, replacing the weekly hand-built report entirely.
"For the first time, the number on the screen is the number right now, not a snapshot from last Monday. That changed how we run the business, not just how we report on it."
Operations Director, Strategic Corporate PartnerThe build timeline
The tech stack
Results at 4 months
- Manual data entry removed: 34 hours per week across the operations team
- Data error rate: −92% through validation and deduplication on entry
- Reporting: weekly → real-time, with drill-down to source records
- Pipeline: full, live visibility with automatic alerts on stalled leads
- Systems: 4 disconnected tools → 1 integrated source of truth
- Decision-making: leadership acting on current data instead of week-old spreadsheets
Eliminating the manual bottlenecks recovered the equivalent of nearly a full-time role, but the bigger win was visibility. With one connected system feeding real-time dashboards, the client stopped managing the business by rear-view mirror and started making decisions on what's actually happening now.