The recruiting market moves on speed. We build AI systems that screen applicants, trigger outreach the moment a candidate applies, and keep your pipeline moving without adding coordinators.
Staffing agencies and internal HR teams
These are the problems we fix most often for recruiting & staffing businesses.
A single job posting generates hundreds of applications. Manual screening means qualified candidates sit unseen while your team works through the backlog. By the time you reach the right person, they've already accepted another offer.
Shortlisted candidates should be contacted within hours. In practice, they wait days. The best candidates, the ones with options, don't wait. Automated, immediate outreach is the difference between filling the role and starting over.
Placed candidates need check-ins at 30, 60, and 90 days. Clients need status updates. Candidates in your pipeline need nurture. None of this happens consistently without automation because coordinators are too busy filling the next role.
Status changes happen in conversations, not in the system. By the time someone updates the ATS, the information is stale. Pipeline visibility suffers and handoffs get messy.
Each workflow is built inside the tools your team already uses.
Application received → AI screens against must-have criteria → scores and ranks candidates → routes qualified profiles to the recruiter with a summary. Eliminates manual screening for roles with high application volume.
Shortlisted candidate identified → outreach sent immediately → interview scheduling link included → reminder sequence if no response. First contact happens in minutes, not days.
Candidate placed → automated check-ins at 1 week, 30 days, 60 days, and 90 days. Surfaces issues early, protects the placement, and keeps your relationship with the candidate warm for the next role.
Status changes captured from email and conversation → ATS updated automatically → recruiter dashboard stays current without manual logging. Pipeline visibility improves without adding admin work.
These are real workflow examples, not hypotheticals. Each one runs automatically once it is built.
Trigger
New application received
Steps
Result
Recruiter sees only qualified candidates, backlog eliminated
Trigger
Candidate shortlisted
Steps
Result
Candidates reached before they accept another offer
The workflow design changes with the buying cycle, systems, risk, and handoff patterns in each industry.
Recruiting automation should never make vague judgments about people. The workflow screens against role-specific criteria your team defines: certification, shift availability, location, work authorization, required experience, or compensation range. Anything subjective stays with the recruiter.
A strong candidate may be talking to three agencies at once. The first useful response often gets the interview slot. We design outreach so qualified candidates hear back quickly, get a scheduling path, and know what happens next without waiting for a coordinator to clear a queue.
Pipeline visibility is only useful if statuses reflect reality. Recruiting workflows need to write notes, update stages, and surface stalled candidates without adding another admin chore. We build the automation around the ATS as the system of record, not a separate side dashboard.
We do not recommend an automation because it sounds impressive. We recommend it when the workflow has enough volume, a clear trigger, usable data, a human review path, and a metric that should move after launch.
For recruiting & staffing businesses, the first useful metric is usually tied to response speed, completion rate, fewer missed handoffs, fewer manual reminders, or less time spent reporting. Before a pilot starts, we define the baseline and the expected signal so the owner can see whether the workflow is doing its job.
We also define where automation stops. If the request is sensitive, incomplete, unusual, or outside the approved workflow, the system should route it to a person with the context attached. That keeps the AI layer useful without asking it to make decisions that belong with staff.
This review standard follows the same approach documented in our editorial policy: practical evidence, clear limits, and recommendations that can be checked against real operations.
We do not hand you a plan and leave. We build the system and keep it running.
A 30 to 45 minute call to find your highest-impact workflow. You leave with a clear recommendation and a fixed-price proposal.
We build one workflow inside your existing tools. Fixed scope, fixed fee, running in days.
After the pilot works, we stay on to monitor, tune, and add new workflows every month.
Questions we hear often from recruiting & staffing businesses before they book a diagnostic.
AI screening is only as fair as the criteria you define. We work with your team to establish screening criteria based on objective, role-relevant requirements, and we build in regular review checkpoints. The AI is a filter, not a decision-maker. Final screening decisions stay with your recruiters.
We integrate with the most widely used ATS platforms. Bullhorn, Greenhouse, Lever, JobAdder, and others. During the free diagnostic call we map your current tech stack and confirm compatibility before committing to a build.
Yes, when built correctly. We use the job title, role details, and candidate profile to write each outreach message. Candidates receive something that's relevant to their background, not a mass email template.
The AI handles the standard questions: role details, next steps, timeline. It flags anything complex for a recruiter to respond to. You get a notification with the candidate's question and full context so the handoff is clean.
It depends on where your current bottleneck is. If it's speed-to-candidate, faster outreach converts more of the pipeline you're already generating. If it's capacity to handle volume, automation frees your team to work more roles. We identify the specific bottleneck in your diagnostic call and build around that.
Book a free 30-minute AI Diagnostic. We will identify your highest-impact workflow and tell you exactly what we would build to fix it.
Book a Free AI Diagnostic