About the client
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.
Customer review
Daniel's support went beyond just writing code. He essentially became an extension of our team. When we hit technical snags, whether it was integrating with a third-party service or fine-tuning an AI model, he worked side by side with us to resolve them. He kept our business goals in focus throughout. It wasn't technology for technology's sake. Every sprint was aligned to what would make recruiters more effective.
Nathan Veal,
Tech Lead at Imagine AI
Business context
To accelerate its digital roadmap, Forsyth Barnes envisioned Imagine AI— a next-generation recruitment platform that combines 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.
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Outdated UX/UI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 I implemented
To address the inefficiencies and limitations of Forsyth Barnes’ legacy system, I helped deliver a scalable, AI-enhanced web platform designed for multi-company use. My process was collaborative and iterative, with many AI features shaped by ongoing client feedback and business input.
- A scalable, multi-tenant platform. The system was designed to support multiple client companies with secure data isolation, customizable roles, and flexible user access.
- Centralized recruitment workflows. Core processes (managing candidates, jobs, placements, and team structures) were rebuilt into streamlined, role-driven modules, significantly reducing manual input.
- Smart automation of meetings. Through Microsoft Teams integration, I enabled call transcription, auto-filled checklists, and trigger-based actions like automated emails.
- Incorporated AI features. I developed AI features iteratively with the client’s input. I collaborated closely with Forsyth Barnes to build and refine tools like job ad generation, CV tailoring, and candidate matching, each shaped by practical recruiter needs.
- Integrations. I enriched the platform with external data sources. Integrations with ZoomInfo, LinkedIn, and Microsoft AD automatically refreshed company and candidate profiles with verified data.
- Compliance and configuration tools. Now the system allows admins to define document requirements by contract type, manage dropdown options, and enforce custom field rules across workflows.
- AI-powered reporting. SQL-powered dashboards were paired with natural-language AI queries, enabling users to generate reports and insights without technical barriers.
- 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.
- 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.
- 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.
- 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.
- Advanced reporting. SQL-driven dashboards + AI query-based report builder.
- Deal flashes. Real-time celebratory banners (with sound) broadcast company-wide when deals close.
Up to 85% time savings on core recruitment tasks
CV tailoring that used to take ~15 minutes now takes just 2 minutes with AI-assisted formatting.
Candidate search time reduced by 80–90%
Tasks that previously took hours (like finding relevant candidates) now take under 10 minutes using the “Search Everything” tool and internal AI chatbot.
Improved consultant productivity across the board
By consolidating tools and automating manual work, Imagine AI enabled consultants to focus more on candidate engagement and less on admin.
Reduced platform sprawl and operational overhead
One unified system replaced several disconnected tools, lowering complexity and cost for Forsyth Barnes’ operations team.
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