Digital Candidate Journey
Optimise every touchpoint in the hiring funnel
EVA transforms how hiring teams work by facilitating ‘outcome-driven’ automation. Workflow decisions/transitions are synced against candidate data to create a process-optimisation loop that eradicates repetitive tasks, manages complex operations and delivers a fantastic candidate experience.
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The technologies that power the DCJ
EVA.ai converges 5 technologies to make personalised HR scale and smash effectiveness goals for the first time.
Conversational Assistant
EVABot engages candidates in real-time, initiating the screening process, testing eligibility and fit-to-roles while delivering on-demand job updates
RPA
EVA’s configurable ‘outcomation’ workflows streamline the entire hiring process, by quickly and accurately managing high-volume operations across previously complex systems
AI & Machine Learning
EVA’s ML algorithms analyse the positive and negative outcome of every decision within the hiring journey e to learn, track and recommend best-practice approaches to deploy in hiring scenarios
Analytics
EVA’s Analytics capabilities arm your HR ops with the data and reporting tools necessary to track end-to-end hiring metrics, whilst gaining useful insights that optimise your hiring strategy and facilitate data-driven decision making
HRMS
EVA integrates/manages disparate technologies to streamline processes so that every stakeholder within a defined workflow is genuinely engaged and fulfils maximum productivity.
The HR 4.0 difference
Within the Digital Candidate Journey, EVA manages data from legacy HR systems, the talent portal and the agent interface, enabling the free flow of information within its human resource management system.
EVA aggregates this information to facilitate a contextual understanding of the information within the system and drive powerful experiences for each stakeholder within the hiring process.

A single source of truth
A single source of truth
When candidates engage with the platform, they generate new data, EVA’s algorithms become more effective, thus matches become more relevant, and end-user engagement increases, facilitating a powerful, self-perpetuating cycle.

Great things are done by a series of small things brought together
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The Talent Portal
Build impactful relationships with new talent and maximise existing relationships using EVA’s HR 4.0’s promise of on-demand transparency and accessibility. Ensure no candidate experience ever drops off into the black hole. Connect instantly, provide answers, track their status and speed through the hiring process.
Where standard meets expectation
The always-on candidate experience solution
EVA’s talent portal allows candidates to self-serve, on-demand within a secure application that houses everything a candidate needs to engage meaningfully with your organisation.
Talent can engage with EVABot to apply for vacancies specific, update their information, answer FAQs, get job recommendations and much more.
How EVA’s intelligent conversational interface brings humans and AI together to ensure world-class candidate experience, 24/7.
Democratise Candidate Data Management
Within the talent portal, candidates can engage with EVABot to automate the screening process, assess eligibility and fit-to-roles whilst delivering on-demand job updates.
Rich Candidate Profiles
Information entered by candidates is standardised and parsed from the candidate portal, into a clean, actionable profile view on the agent side. Teams have access to candidate information in real-time and can trigger next-step actions.
Align the portal to your brand
Configure the talent portal to align with your brand values, terminologies, colours and language. Drive a consistent EVP at every touchpoint of the candidate journey.
Proactively engage with talent
Deliver job recommendations and push relevant content to candidates within the candidate portal or via EVABot. Sync vacancies from your career site to the careers portal to create a one-stop destination for talent management.
Meaningful engagement across the hiring lifecycle
EVA’s always-on capability and context-based workflow management, guides candidates across the entire hiring experience from job search to hire, and from onboarding to career advancement.
HCM Portal
EVA’s no/low code platform allows agents to trigger automation, centralise information, foster collaboration and build relevant + high-yielding pipelines. Each instance is explicitly configured to client request and can accommodate any number of users with different roles, working simultaneously.
Organisations can deploy EVABot to work on hiring boards, career pages, or websites to replace the ‘click-heavy’ and manual form-based application process. EVABot’s dynamic conversational abilities creates an incredibly engaging application experience, decreases dropout rates and captures intangible insights that forms were not designed to.
Utilising conversational assessments against workflow automation, EVABot can engage with candidates to deliver aptitude, behavioural and personality tests. Scoring from tests is fed back to the agent portal. Allowing hiring teams to qualify talent before the first recruiter interaction.
Build configurable workflows around ‘if’ and ‘then’ outcomes across the entire screening process. Automate follow-up messages to acknowledge receipts, send invitations or rejections within the candidate portal, via EVABot or even through emails.
Segment your entire candidate database based on skills, internal CV tags, availability status, qualifications, years of experience and more. EVA allows you to build up-to-date lists based on your desired filter criteria, ensuring teams always have easy access to robust and relevant pipelines.
EVA’s powerful search functionality allows users to unearth the breadth of talent within the candidate database. Configurable filters ensure that agents can customise the hiring requirements against the search parameters. As a bonus, EVA integrates into third-party job boards to power a more comprehensive search.
EVA’s matching functionality is agnostic to variables that can feed bias, including ethnicity, age, race or gender. Simultaneously whilst providing compliant search results, EVA randomly adds candidates that are subject for inclusion.
EVABot acts as a personal sidekick to recruiters, automating manual processes via outcome-led automation, delivering personalised engagement at scale and ensuring .
Define triggers with EVA’s RPA workflows that can be triggered across SMS or email to candidates as they move across their hiring journey. Personalised fields allow you to tailor every outbound communication to the candidate in question, without the manual work.
EVA combines automated email campaigns and EVABot within a powerful function that proactively engages with candidates you may have lost contact with to get fresh insights on their current work status, skills and work experience.
Assign roles across your HR teams to manage different levels of access; user-aligned interfaces ensure distinct functions within your organisation are privy to information that falls within their job specifications.
Users can trigger tasks and reminders to ensure that they are always on top of work. Track pending to-do’s, manage work allocation and identify who is responsible for what process.
EVA’s communication hub ensures all candidate interactions, internal notes and tasks about each candidate are accessible in a single window. The comms hub facilitates process visibility and information transparency across every member of the hiring team.
Access all your hiring metrics from EVA’s intuitive and easy to use dashboard. Dashboards can be configured based on the role and permission structure within the system - ensuring that team members keep an eye on the metrics that matter to their department.
Powerful filters and drill-downs allow you to make sense of the key drivers within your HR performance data in real-time. Understand how every metric, source or KPI within the hiring process affects organisational performance.
EVA’s matching algorithm considers variables within a candidate profile, and the job description in question, utilising this information to build correlations and model-matches within ranked taxonomies. Whilst moving candidates across pipelines, agents choose to either ‘Reject’ or ‘Accept’ for that stage, every decision fine-tunes the best-candidate to role algorithm.
The process of matching creates a continuous insight loop that feeds EVA’s ability to predict which candidates are likely to progress, based on semantic analysis, past recruiters’ decisions, and recruitment process selection outcomes.
EVABot’s ML workflow algorithm determines the best sequences and sentence structures that increase conversion rates and reduce churn in a conversation. EVABot then tailors every interaction to adapt to the best conversation algorithm - be it at overarching conversation structure or the best way to phrase a question.
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