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How Geniusee helped Forsyth Barnes speed up hiring by up to 90% with Imagine AI
Forsyth Barnes is a global talent partner reshaping the recruitment landscape. Founded in 2016, the firm combines deep relationship-driven consulting with strategic investments in AI and technology to deliver high-performing teams for scale-ups and FTSE-listed enterprises alike.
Geniusee developed Imagine AI, a scalable recruitment platform for Forsyth Barnes. The system centralizes workflows, embeds AI for candidate matching and CV tailoring, and integrates compliance and reporting tools. This solution facilitates recruiters' work and ensures full visibility across the hiring cycle.
Business context
To accelerate its digital roadmap, Forsyth Barnes envisioned Imagine AI — a next-generation recruitment platform that would combine workflow automation, candidate intelligence, and AI-enhanced decision support.
The goal was to reduce manual tasks, centralize fragmented data, and provide recruiters with intelligent tools to search, assess, and match candidates faster—all within a secure, scalable, and user-friendly web platform.
Key challenges:
The client faced several critical challenges with their existing recruitment infrastructure:
Limited functionality in Itris 9. The limitation of essential features in the client’s legacy system affected the ability to record and track workflows efficiently throughout the hiring process.
Complex and manual processes. Core tasks like CV tailoring, candidate sourcing, and approvals required multiple tools and significant consultant time, preventing them from focusing on high-value activities such as client and candidate interactions.
Unclear reporting & auditability. The absence of advanced reporting tools and audit trails hindered compliance, transparency, and strategic performance tracking.
Low visibility into candidate data. Consultants often struggled to find relevant information across large datasets due to the lack of intelligent search and centralized access, which caused delays in the recruitment cycle.
Outdated UX/UI. The existing system had a cluttered, unintuitive flow. Key processes required excessive clicks, lacked role-specific customization, and created friction across core workflows.
Construction requirements were scattered across multiple sources. This made it difficult to prepare a complete set of documents. Applicants often faced delays when missing information is discovered.
Limited platform scalability. As Forsyth Barnes expanded, the system struggled to scale with the growing volume of users, jobs, and candidate data. Performance degraded with increased load, leading to delays in search, report generation, and real-time collaboration.
Growing demand for AI-driven efficiency. To stay competitive, Forsyth Barnes needed to embed AI into core operations, from candidate matching to automated content generation.
Solutions we implemented
To address the inefficiencies and limitations of Forsyth Barnes' legacy system, Geniusee delivered a scalable, AI-enhanced web platform designed for multi-company use. Our process was collaborative and iterative, with many AI features shaped by ongoing client feedback and business input. So, what was done?
Project tech stack
Frontend
Infrastructure
Geniusee team
Features
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People/job placement & team management. Core modules for handling the full recruitment lifecycle across teams and business units.
AI job ad generation. Custom prompts generate job descriptions tailored to role, tone, and target audience.
- Candidate mailshot. Auto-summarizes candidate experience for client-ready overviews.
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CV parser & tailoring. Extracts data from CVs and formats into custom templates aligned with job specs.
Search everything. Natural language search across the whole database (e.g., “Show me all project managers in Berlin”).
- Candidate matching. Scores and ranks candidates by fit based on skills, role, and context.
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- AI-powered chatbot. Responds to recruiter queries with instant data about candidates, roles, or placements.
Meeting bot & checklist automation. Transcribes calls and auto-fills checklists, triggering workflows (e.g., tasks, reminders, emails).
Contact prioritization & org chart markers. Highlights high-impact candidates or companies within complex orgs.
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Input fields configurator. Admins can rename, set required fields, or update dropdown logic.
Compliance document manager. Rules-based document requirements depending on contract types.
Reminders & to-dos. Includes people to contact, approvals, and DAPs — system-managed action queues.
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Advanced reporting. SQL-driven dashboards + AI query-based report builder.
Deal flashes. Real-time celebratory banners (with sound) broadcast company-wide when deals close.
Results
Challenges Geniusee encountered
Like any complex product development process, the Imagine AI project also surfaced challenges that tested both technology and teamwork. The most significant included:
Problems we managed to cope with
Integration hurdles
Microsoft Graph API and Azure services presented stability and compatibility issues during early development phases.
High data volume post-migration
After importing legacy data, performance tuning and restructuring were necessary to maintain platform speed and integrity.
Frequent scope changes and shifting priorities
Rapid iterations and evolving feature expectations required constant communication and real-time adaptation.
How Geniusee resolved these issues
Each challenge pushed the team to refine how they worked and engineered the platform. Instead of slowing progress, the obstacles became turning points where technical problem-solving and close collaboration with Forsyth Barnes made the difference:
Tech-first problem solving
Tight deadlines and complex data challenges were resolved through custom indexing, scalable architecture decisions, and continuous optimization.
Post-launch hardening
Following the release, Geniusee worked in sprints to stabilize new features, resolve edge cases, and implement feedback loops for rapid improvement.
Adapted delivery model
Our team switched to more agile, transparent collaboration (weekly checkpoints and close coordination with the client’s tech-savvy stakeholders).
