Sales: AI SDR
Measured80 → 9
Companies screened to drafts ready for approval, in one saved weekly run. Every claim links to its source, and a person approves before anything is sent.
Try the approval queue
AI automation consulting · Companies of 20–500 people · US and Europe
We automated
our own business first.
Now yours.
We built AI screening, voice interviews and an AI SDR for our own company, and staff assistants, search and call analysis for clients. A forward-deployed engineer works directly with your team, from diagnosis to daily use.
$5,000 fixed, 3 weeks: a costed plan for one workflow and a straight answer on whether it pays back.
What costs you the most right now?
Cases
Done for ourselves. Then for clients.
Recruo began as an AI-native recruiting company, so we automated our own screening, interviews and outreach first. Then our team built the same kind of systems for clients.
Built for our own business
Recruiting: AI screening and voice interviews
Measured- Sourced and applied430+
- Passed AI CV screen6114%
- Passed technical pre-screen1220%
- Shortlisted to client1083%
- Passed client's technical interviews990%
- Offers signed556%
5 business days median to first shortlist, across 20+ placements.
Watch the agent“Filling one seat used to cost us 20–25 technical interviews — all senior engineering hours the team was struggling to absorb. The shortlist we received was already technically validated, so our interviews could focus on what only we can judge: project fit and culture fit.”
13 CV fraud checks
Career timeline, employers, contradictions, implausible claims, AI-written text, document forensics and duplicates.
Script-reading detection
Interview recordings are checked for answers read from a script, and the checks are tested against false positives.
Hiring pipeline
Jobs, stages and applications, CV intake from Gmail, and Google and Microsoft calendar sync. Interviews run in a browser or Google Meet.
AI SDR on your tools
Finds and checks accounts, drafts with sources, holds each draft for approval and syncs replies, on the data and sending tools you already use.
Built by our team for a client
Clients under NDA. We walk you through the work on the first call.
Customer service
Conversation analysis
Scores each phrase of a transcript and charts how the customer's tone shifts. Reviewers open the turning points instead of reading from the first line.
Banking
Staff helpdesk in Microsoft Teams
Employees ask in Teams and get answers from internal documents, limited to what their access level allows. Guardrails check each question and answer, and the assistant can open a Jira ticket in the right category.
E-commerce
Search in shoppers' words
Search across product text and photos, with filters for category, material and price. New products get scene images and a rotating view for listings and campaigns.
Automotive
What buyers say in reviews
Turns car reviews into sentiment, topics and the reasons people buy.
HR analytics
Why people leave
A chat assistant built on a causal model. It separates what drives attrition from what merely correlates, and estimates what an HR intervention would change.
Training and media
Ask a video library
Ask a question across a video library and jump to the moment that answers it, using what is said and what is on screen.
Also built: product recognition in video for retail media, and a game economy analyst for a studio.
Market benchmark
Published third-party figures, not Recruo client results.
Contact centers
6
quality evaluations per agent per month, reported by North American call centers.
SQM Group, 2021Financial services
46%
of UK financial firms surveyed reported only partial understanding of the AI they use; 34% reported complete understanding (118 firms).
Bank of England and FCA, 2024E-commerce
56%
of sites have on-site search rated “mediocre or worse”.
Baymard Institute, 2026Car buying
75%
of US vehicle buyers used third-party websites while shopping (2,300 recent buyers). Cox owns Kelley Blue Book and Autotrader.
Cox Automotive, 2025Employee turnover
38.0M
US quits in 2025, out of 62.8 million total separations.
US Bureau of Labor Statistics, JOLTSKnowledge work
25%
of their time goes to searching for answers, leaders and teams reported (12,000 knowledge workers and 200 executives, self-reported).
Atlassian, 2025
How we work with you
A forward-deployed engineer, not a ticket queue
The engineers who built our own systems work directly with the people running your business. No layer in between, and no handoff to a delivery team.
A typical vendor
Your teamAccount managerProject managerDevelopers
Every question takes a round trip.
Recruo
Your process ownerForward-deployed engineer
The person who built our systems works in yours.
01
In your tools
Works inside your CRM, ERP, helpdesk and call recordings, with the access you grant.
02
With the person who owns the process
2–3 hours a week with your process owner. Questions get answered on the call, not in a ticket.
03
Ships to production
Working software on your data, against acceptance tests you signed before the build.
04
Stays after launch
Monitors it, re-tests every model upgrade and reports monthly against the agreed metric.
The engineers who built our systems
Nikita Kiselov
CTO
Hands-on engineer who has wired LLMs into production under real load.
Iryna Kokhan
Deep Learning R&D Engineer
Builds the voice-agent stack and trains the evaluation models behind every scorecard.
Ostap Pavlyshyn
Full-Stack AI Engineer
Ships AI research as product, and connects each model output to where a person reviews it.
Why tools alone stall
You bought the tools. The work still isn't done.
Your CRM, ERP and AI tools are good products. Someone still has to connect them to your process, check the output and fix it when something changes. Usually that someone is a team you already pay.
Tools alone
Setup
Your team configures tables, prompts and integrations between other work.
Daily work
SDRs or analysts run the stack and check every output by hand.
Change
It decays when a model, an API or your process changes.
Accountability
Nobody owns the number. Each vendor reports on its own tool.
A workflow with an owner
Setup
We build the workflow into the tools you already pay for.
Daily work
AI finds, validates and drafts. Your people approve.
Change
We monitor it, re-test it on your acceptance cases and upgrade it.
Accountability
One team owns the metric agreed before the build. You can check it against your own records.
We use the same tools. The difference is who runs them, who checks the work and who answers for the result. And if one off-the-shelf product solves your problem, the diagnostic will say so, and you keep the roadmap.
A workflow with an owner · AI SDR
Your SDRs approve. The agent does the digging.
It finds the right accounts, checks them against your ideal customer, researches the people and writes the first draft. Your team spends its day on replies and conversations, on the same data and sending tools it uses now.
To Dana Whitfield, VP Operations, Northwind Supply
Hi Dana, Northwind opened three inside-sales roles in Columbus this month1, right after adding the industrial fasteners line2. Teams at that stage usually lose hours to quote requests that arrive as PDFs. We build the workflow that turns them into draft quotes in your ERP. Worth 20 minutes?
Try it: hover a claim to see its source.
01
Find
accounts from hiring signals
02
Qualify
against your ideal customer
03
Research
contacts and context
04
Personalise
and remove duplicates
05
Draft
each claim linked to a source
06
Approve
by a person, before anything is sent
- companies screened to drafts ready, in one saved weekly run of our own system
- Measured
80 → 9
companies screened to drafts ready, in one saved weekly run of our own system
- SDR time per account, from research to an approved draft
- Target
20 → 5 min
SDR time per account, from research to an approved draft
- SDR time freed a year at 400 accounts a month
- Target
1,200 h
SDR time freed a year at 400 accounts a month
Outreach rules differ by country, so the country filter is part of the build. Markets that require prior consent stay off by default.
Where we work
Pick your business. Run your numbers.
Ten workflows we take on. Every figure here is yours to change. In the diagnostic we rebuild it with your data, and if it doesn't add up, we say so.
Built by our team for a client
Client under NDA: every conversation scored, reviewers jump to the turning points.
Reviewers read whole transcripts to find the moment a call went wrong, so only a sample ever gets checked.
What we build
- Every conversation scored and linked back to the transcript
- A review queue that opens on the turning points
- One scorecard across your vendors, your people and your AI agents
Where products stop
Zendesk and QA add-ons score inside their own platform. Rubric calibration, multi-client reporting and an independent view of your AI agent are left to you.
Market benchmark
Just 4% of customer service leaders have achieved the expected ROI of their AI initiatives. Gartner, 2026
Start with a $5,000 diagnostic: we score a sample of your own calls with your rubric and compare it with your QA team. EU scope: transcripts, topics and text-based tone. No voice emotion. No individual HR scoring.
Value model: Support & contact centers
Payback after launch
7.0 months
Calculated from the inputs on this screen. Not a forecast.
- Value a month
- $5,601
- Running cost a month
- $1,650
- Net a month
- $3,951
- One-time cost
- $27,500
| Month | Cumulative net value |
|---|---|
| 0 | -$27,500 |
| 6 | -$3,791 |
| 12 | $19,917 |
| 18 | $43,626 |
| 24 | $67,335 |
- Pays back within 12 months of signing from about 43 agents.
- If only half of the freed hours become real savings: 23.9 months.
- QA pay from Payscale, loaded. Ratios from a vendor benchmark. Counts QA labour only: no independent study shows that scoring lifts sales.
| Workflow | Value a month | Payback, months | Pays back within a year from |
|---|---|---|---|
| Support & contact centers | $5,601 | 7.0 | 43 agents |
| Staffing & recruiting | $7,500 | 3.3 | 6 recruiters |
| Distribution & manufacturing | $5,834 | 6.6 | 79 orders a day |
| In-house hiring | $7,000 | 3.8 | 44 screens a month |
| US law firm intake | $26,250 | 1.1 | 46 leads a month |
| Home services | $9,009 | 3.6 | 554 calls a month |
| B2B sales | $3,846 | 8.3 | 383 accounts a month |
| E-commerce | $4,320 | 8.5 | 144,000 searches a month |
| Dealer groups | $7,805 | 4.1 | 83 missed service calls a month |
| Freight brokers | $8,300 | 6.4 | 1,145 loads a month |
Calculated at base-case inputs. Not a forecast. How we count value: freed hours stay capacity until paid hours actually stop, extra revenue counts only at its margin, and each item is counted once. Payback is the one-time cost divided by net monthly value, in months after launch, with the $2,500 diagnostic credit applied.
HR and talent consulting
The voice agent we hire with, set up for your team
We built AI screening and voice interviews to run our own engineering searches. Now we put the same stack inside your hiring process: your roles, your scorecards, your ATS.
- In-house talent teams
- Staffing agencies and RPOs
- HR tech and ATS platforms
- 01
Invite
The candidate gets a link, and the voice agent joins the interview.
- 02
Interview
Role-specific questions, with adaptive follow-ups on each answer.
- 03
Report
A score per question with evidence, an English level and integrity signals.
- 04
Human decision
A recruiter reviews the result. Your team decides.
- 87
- out of 100, proceed
- 8.6
- hard skills, out of 10
- C1
- English, from the interview
- Architecture trade-offs in a RAG pipeline over 2M documents9/10
- Designing an eval suite, and where LLM-as-judge fits9/10
- When to fine-tune instead of prompting or RAG8/10
- Catching hallucinations when a prompt or model changes8/10
- Tuning retrieval when a vector index returns irrelevant results9/10
Key takeaway from the report: strong RAG architecture skills with clear reasoning about retrieval precision, reranking and cost trade-offs. Reviewed by a human recruiter before delivery.
- median to first shortlist, 20+ placements
- Measured
5 days
median to first shortlist, 20+ placements
- shortlisted engineers passed the client's own interviews, one five-hire search
- Measured
9 of 10
shortlisted engineers passed the client's own interviews, one five-hire search
- engineer time per screen, spent reviewing a report
- Target
60 → 10 min
engineer time per screen, spent reviewing a report
What we set up for HR teams
01
Hiring diagnostic
A baseline of your funnel: where recruiter and engineer hours go, screen to offer, time to first shortlist.
02
AI CV scoring
Every CV scored against the criteria you agree, with reasons a recruiter can check.
03
Voice first rounds
Interviews with adaptive follow-ups and integrity checks, up to a locked-down secure browser.
04
Scorecards your panel trusts
Per-question evidence, an English level mapped to CEFR and a recruiter-reviewed verdict, calibrated with your hiring managers.
05
ATS integration
One call to start an interview, one webhook to get the scorecard back, written into your ATS.
06
Recruiter tools
An interview note taker and an AI voice assistant, with onboarding and training for your team.
Hiring AI is regulated. We build for that.
- EU AI Act
- Recruitment systems are high-risk, with duties from December 2, 2027. Agents that talk to people must say they are AI, already in force.
- Voice and emotion
- Inferring emotions at work and in hiring has been banned in the EU since February 2025. We score the answers and do not infer emotions from a candidate's voice.
- United States
- NYC Local Law 144 bias audits, plus California and Colorado rules from January 2027. Requirements are set per state.
- Your counsel
- A person makes every decision, but that alone does not settle compliance. We scope each market with your lawyers before launch.
Voice interviewer $900 and candidate scoring $450 a month, on top of the operating plan. Run the numbers for your team in the value model, or read the published case study. Platforms can ask about the interview API.
Talk about your hiringHow an engagement runs
Diagnose the cost. Build the workflow. Run it with you.
One team, accountable from diagnosis to daily use. Every payment is tied to a milestone you accept.
- 1
Discovery
2 weeks
Cost baseline and a bottleneck map
- Acceptance
- You confirm the baseline figures
- Payment
- 50% of the diagnostic fee, at kickoff
- 2
Roadmap
1 week
Ranked business cases and a fixed-price quote
- Acceptance
- Roadmap signed off at the readout
- Payment
- 50% of the diagnostic fee
- 3
Build & Integrate
4–8 weeks
A working workflow on your systems and data
- Acceptance
- Agreed acceptance tests pass
- Payment
- 30% of the build at kickoff, 40% at acceptance
- 4
Launch
2–3 weeks
Live system, trained users, operating guide
- Acceptance
- 10 business days stable in production
- Payment
- Final 30% of the build
- 5
Operate & Improve
Monthly
Monitoring, support and measured improvements
- Acceptance
- Monthly review against service levels
- Payment
- Monthly plan plus usage
Each stage ends with a decision: continue, adjust or stop.
What stays with you
- The roadmap and business case
- Custom code built for you
- Your data, exportable any time
Pricing
A price for every stage, before work starts
Scope, price and acceptance criteria are fixed in each proposal. USD, excluding VAT and sales tax.
Diagnostic
$5,000
fixed · 3 weeks · one business area
- Process map and cost baseline, confirmed with your team
- 5–10 ranked opportunities with cost, payback and risk
- Fixed-price build quote and 90-day roadmap
- $2,500 credited if the build starts within 60 days
50% at kickoff, 50% when you accept the roadmap
Start with a diagnosticBuild & Integrate
$25k–$45k
fixed price per release, custom workflow
- From $12k when we configure an existing module
- On your systems and data, with written acceptance tests
- Custom code assigned to you on final payment
- No licence on custom code
30% at kickoff, 40% when your acceptance tests pass, the final 30% when you accept launch
Operate & Improve
$950 or $2,400
a month, from launch · 3-month minimum
- Monitoring, alerts and incident response
- Model upgrades re-tested on your acceptance cases
- Monthly report: uptime, quality, cost and KPI
- 6 hours (Essential) or 20 hours (Growth) of fixes and improvements
Then monthly, with 30 days' notice
- Hosting and AI usage
- At provider cost + 10%, within a monthly cap you approve. In your own cloud account: at cost, no markup.
- Module licence
- $450–$900 a month per module, only if a workflow runs on a Recruo product module.
- Changes outside scope
- A change order is signed before work starts.
Market benchmarkAI development projects reviewed on Clutch typically cost $10,000–$49,999 (Clutch directory data, 2026).
Week 0
$2,500
Diagnostic kickoff
Week 3
$2,500
Roadmap accepted
Week 4
$6,500
Build kickoff, after $2,500 credit
Week 9
$12,000
Acceptance tests pass
Week 12
$9,000
Launch accepted
Months 4–12
$1,650/mo
Essential plan + ≈$700 usage
- $32,500
- one-time total
- $47,350
- year one from kickoff
- $19,800
- each later year
Questions
What buyers ask before the first call
Next step
Bring one workflow that costs you too much
- 1
Working session
30 minutes · free
Walk us through the process and its numbers, with the person who owns it.
- 2
Diagnostic
3 weeks · $5,000 fixed
A baseline, ranked opportunities and a roadmap you keep.
- 3
Build decision
Fixed-price quote
Decide on the first release with the numbers in hand.
Prefer to write directly? Olena Ponomarchuk, Chief Business Development Officer
Tell us what to automate
Share the process, its monthly volume and the tools it touches. We reply within one business day.