Every case below is a real engagement. Real numbers. Real organisations.
A recruitment platform serving over 100,000 professionals and 3,000+ companies had manual processes breaking at scale. Average time-to-hire was 45+ days. Recruiters were manually matching candidates, coordinating interviews, and sending updates one by one.
We built a multi-agent AI system that automated the full recruitment workflow — from candidate matching through interview scheduling through placement.
Separately managed accounts. Manual portfolio construction was slowing everything down. Portfolio construction, client onboarding, and reporting all required extensive manual steps from the team.
We built end-to-end workflow automation covering portfolio construction, document processing for onboarding, and automated reporting with natural language summaries.
Hundreds of limited partners. Investor relationships managed manually. Partners spent hours every week writing personalised emails, coordinating schedules, and chasing follow-ups across 23+ portfolio companies. Completely unsustainable.
We built full fundraising automation connected to Slack, Gmail, Google Sheets, and Calendar. The system extracts relationship context, generates personalised outreach, automates scheduling, captures notes, and routes follow-up tasks.
For every deal, analysts spent 2–3 months manually researching and qualifying thousands of potential buyers. This capped how many deals the firm could run at once and made the business impossible to scale.
We built an AI buyer intelligence system that aggregates public data, scores buyers against multi-criteria algorithms, generates evidence-based profiles, and automates personalised outreach sequences.
10,000+ documents scattered across drives and inboxes. New employees were taking months to find basic information. Senior staff were constantly answering the same internal questions repeatedly.
We built an internal knowledge assistant indexing all documents with plain language queries — no training needed, no complex interface. Anyone can ask a question and get a sourced answer in seconds.
A hotel group's marketing team was stretched thin. Content production was slow, inconsistent, and expensive. Social posts, copy, and campaigns were taking days to produce and review.
We built an AI content system that captured their brand voice, automated copy generation, and created a social content calendar — cutting production time dramatically while maintaining brand consistency.
Client reports were taking days to prepare. Media monitoring was done manually. The team was spending significant time every week compiling coverage and sentiment for client presentations.
We built an AI monitoring system with auto-categorisation, automated report generation, and a real-time dashboard — so the team always knows what is happening and clients always have up-to-date reports.
Leadership knew there were inefficiencies but could not locate them precisely. Interview-based assessments had failed to surface the real problems. They needed someone to actually look at how work was happening.
We ran a two-phase AI Gap Analysis combining structured interviews with real-time job shadowing. We built friction heatmaps across finance, operations, and partnerships — covering 100% of the organisation.
Different levels of AI knowledge across partners, managers, and analysts. No structured pathway. Resistance from experienced staff. No quality standards for what was acceptable to send to clients.
We delivered a role-specific curriculum with hands-on workshops using real client deliverables. Champions programme. Responsible use guidelines. Certification pathway for each seniority level.
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