Solution: Screening assistant
You screen hundreds of resumes by hand
Every application is summarized against the criteria you define, with evidence from the resume. Recruiters see strong matches and gaps at a glance, and people make every decision.
Sounds familiar?
Signs this is costing you time
Popular job posts attract hundreds of applications. Recruiters skim resumes in seconds each, and good candidates with unusual backgrounds are missed while the pile grows. Applicants wait weeks for a reply, and the best ones accept other offers.
Screening is also inconsistent. Different reviewers focus on different things, and fatigue sets in by the fiftieth resume.
An AI screening assistant reads every application the same way against criteria you set, explains its reasoning with evidence from the resume, and gives recruiters a clear starting point.
It does not reject or hire anyone. It organizes the pile so people can make better, fairer decisions much faster.
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Hundreds of applications arrive for a single role.
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Candidates wait weeks for a first reply.
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Screening quality varies between reviewers and by time of day.
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Strong candidates with non-traditional backgrounds are overlooked.
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Key details, such as notice period or work rights, are missing and chased later.
Before and after
How it works today, and how it works after
How it works today
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Applications pile up in the applicant tracking system or inbox.
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Recruiters skim resumes quickly.
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Shortlists depend on who reviewed which batch.
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Missing information is requested one candidate at a time.
How it works after
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Each application is summarized against your written criteria.
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Evidence from the resume is quoted for every criterion.
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Missing details trigger an automatic, polite request.
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Recruiters review ranked summaries and make every decision.
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All candidates receive timely updates.
What we build
What we build
Clear criteria
Evidence-based summaries
Missing detail requests
Recruiter review screen
ATS integration
In practice
What it looks like in practice
An illustrative walk-through, not a client story.
A staffing agency receives around four hundred applications for a batch of warehouse supervisor roles. Previously, two recruiters spent several days on first screening.
Now each application is summarized within minutes: forklift certification (met, quoted from the resume), supervisory experience (unclear, one mention of "team lead"), shift availability (missing, request sent automatically). Recruiters review summaries sorted by criteria met, read the full resume for anyone who looks promising, and call shortlisted candidates the same week. Every applicant gets an update within days instead of weeks.
Models and tools
AI models and MCP servers that usually fit
We choose models by task, data sensitivity and cost, and test them on your real examples before we commit. These are common starting points, not a fixed recipe.
How we build it
The services behind this solution
Most solutions combine two or three of our services. These are the ones this one usually needs.
AI workflows
Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
Document automation
Read invoices, forms, contracts and IDs, pull out the right fields and route them for review.
Internal tools
Custom software for your own team: trackers, approval flows and back-office systems that replace spreadsheets.
Industries where it fits best
Honest limits
Limits and human checks
AI screening can reflect and amplify bias if criteria or examples are biased, and a language model can misread a resume or invent details. We design against this: criteria focus on job-relevant requirements, the assistant does not see or consider protected characteristics, every judgment is supported by a quote, and all decisions are made by people. We recommend regular reviews of outcomes for fairness.
Employment and data protection laws in some places regulate automated decision-making in hiring and require transparency with candidates. We build for human decision-making and help you inform candidates, but you should confirm requirements for your locations with an employment adviser.
Resumes contain personal data. Access is restricted, data stays in your systems, and retention follows your agreed policy. Candidates can ask what data you hold, and your team can answer quickly and accurately because it is all in one place.
Keep exploring
Services, industries and case studies
Related services
View all related services- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- Document automation Read invoices, forms, contracts and IDs, pull out the right fields and route them for review.
- Internal tools Custom software for your own team: trackers, approval flows and back-office systems that replace spreadsheets.
- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- AI copilots AI helpers built into your product or internal tools that draft, summarize and suggest while people decide.
- WordPress development Custom WordPress themes, plugins and cleanups for teams who want to keep editing content themselves.
Solutions
View all solutions- Automated quoting Draft accurate quotes and proposals from a request, your price rules and past work, for a person to approve.
- Meeting notes automation Transcribe meetings and calls, summarize decisions and push action items into your CRM or project tool.
- Onboarding automation Every new hire gets the right accounts, documents, training and check-ins on time, tracked in one place.
- AI lead qualification Score, research and route every new inquiry so your team talks to the best leads first.
- AI automation and integrations Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.
- Approval workflows Requests, approvals and reminders in one place, with clear owners and deadlines instead of long email threads.
Industries
View all industries- Recruiting and staffing Candidate screening assistants, ATS integrations, interview notes and onboarding automation for recruiters and staffing firms.
- Professional services Client portals, proposal drafting, knowledge assistants and internal tools for consultancies, agencies and firms.
- Healthcare Patient booking, intake forms, internal knowledge assistants and admin automation for clinics and care providers.
- Tax and compliance services Client portals, document checklists, case queues and deadline tracking for tax preparers and compliance firms.
- Finance and accounting Client portals, document collection, invoice and receipt processing, and reporting for accounting firms and finance teams.
- Insurance Claims intake, document and photo processing, policy knowledge assistants and customer portals for brokers and insurers.
Case studies
View all case studiesGuides and articles
View all guides and articlesAI models
View all ai models- General purpose All-round language models for writing, summarizing, support, extraction and most everyday business tasks.
- Claude Sonnet 5 Anthropic's balance of speed and intelligence: a strong everyday model for assistants, document work, tool calling and coding.
- GPT-6 Luna OpenAI's most efficient model for focused, high-volume tasks, with vision, tool calling and structured outputs at the lowest price level in the family.
- Claude Haiku 4.5 Anthropic's fastest and lowest-cost Claude model, with near-frontier intelligence for high-volume and real-time work.
- Gemini 3.5 Flash-Lite Google's lowest-cost current Gemini model for high-throughput work such as sub-agent tasks and document parsing.
- GPT-6 Sol The middle model of the GPT-6 family, positioned for complex coding and agentic workflows at a mid price level.
MCP servers
View all mcp servers- Productivity Servers for notes, tasks, projects, calendars, spreadsheets and design tools used across the business.
- Gmail Google's own Gmail MCP server lets AI search and read threads, manage labels and create drafts. It has no send tool.
- Google Drive Google's own Drive MCP server lets AI search, read and create files in Google Drive, with your Google Workspace sign-in.
- Airtable Airtable's official hosted MCP server lets AI list workspaces, create bases and read records, with wider read and write access to tables and automations.
- Google Sheets Google's own Sheets MCP server lets AI read and update cell values and formulas, change spreadsheet structure and insert rows or columns.
- Canva Canva's official MCP server lets AI search, create, resize, export and comment on designs, upload assets and use brand kits.
Glossary terms
View all glossary terms- Structured output Structured output is when an AI model returns its answer in a fixed format, such as JSON matching a schema, so software can use it reliably.
- Hallucination A hallucination is when an AI model states something false or invented as if it were true, such as a made-up fact, figure or source.
- Large language model A large language model, or LLM, is an AI model trained on vast amounts of text that can understand and generate language, and often images and code.
- Zero-shot classification Zero-shot classification is sorting text or images into categories an AI model was not specifically trained on, using only the category names or descriptions.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
- LLM integration LLM integration is connecting a large language model to your software and data, so AI features work inside your own products and processes.
FAQ
Questions about screening assistant
Have a question that is not here? Ask us directly.
No. The assistant summarizes and organizes applications against your criteria. People make every shortlisting and hiring decision.
By focusing criteria on job-relevant skills, excluding protected characteristics, requiring evidence for every judgment, keeping people in charge and reviewing outcomes regularly. No system removes bias entirely, so oversight matters.
Usually yes, through the system's API. See API integration.
Yes. Once hired, candidates can move into an automated onboarding flow. See employee onboarding and recruiting and staffing.