Workforce technology for staffing firms
Software built by someone who has worked the desk
Screening, submittals, compliance and back office — built around the ATS you already run. You will not spend six weeks explaining what a submittal is, why a duplicate submission costs you a client, or how a rate card works.
- We never place candidates
- Works with your existing ATS
- You own the code, always
Systems you already run
Connect
One integration layer, monitored
AI + Automation
Extract · classify · route · act
Your workflow
Unchanged where it already works
Measurable outcome
Hours returned, errors down, status visible
Illustrative flow — Twishiv Platforms builds the middle two layers.
The problem
You already have the software. The problem is everything happening between it.
The first four are a recruitment desk's week. The rest turn up in every business we look at. None of it appears in a process document, and all of it costs hours.
Packaging every submittal by hand
Reformat the CV, strip the contact details, write the summary, re-key it into a portal that will not accept a paste.
Duplicate submissions nobody caught
A trivial check, done from memory, that costs a client relationship when it is missed.
Screening sixty CVs in an afternoon
A skim for keywords, under time pressure, that quietly rejects people who simply wrote less.
Documents that expire silently
Credentials and right-to-work chased by memory, discovered at the worst possible moment.
Copying data between systems
The same record typed twice, with a transcription error rate nobody measures.
Approvals living in email
No status, no audit trail, and a chase-up thread that nobody wants to own.
The spreadsheet that runs everything
Business-critical, understood by one person, one bad paste from a very long day.
Systems that do not talk
Each one fine alone; together, a reconciliation job that arrives every morning.
What we do
We build the layer between your systems and your people
Four categories of work. Most engagements start in one and grow into another.
AI Solutions
Make information searchable, understandable and actionable.
- Document extraction from invoices, contracts and forms
- Classification and routing of inbound work
- Summarisation for long documents and threads
Learn more
Workflow Automation
Turn repetitive workflows into automated processes.
- Approval routing with escalation and audit trail
- Data entry between systems that do not talk
- Scheduled and triggered reporting
Learn more
System Integration
Connect the systems your business already depends on.
- REST and GraphQL API integration
- Webhook and event-driven pipelines
- Custom middleware where no connector exists
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Custom Software
Build the tools your existing software does not provide.
- Internal operations tools
- Dashboards and reporting platforms
- Client and supplier portals
Learn more
Not a demo video
This is what one of the examples actually returns
Rendered by the same engine the example runs on, from the same synthetic data. Change a rule and this panel changes with it.
Half of what this candidate is “missing” was never in the CV to begin with. Treating that as a gap is how screening software rejects people who can do the job and simply wrote less.
The reasoning behind this is written up in why keyword screening rejects good candidates, alongside guides on reactivating your own database and what on a recruitment desk is worth automating.
screening · Rahul Menon
46% evidenced · ceiling 93%
- PythonEvidenced
“Python across the data platform since 2017”
- Advanced SQLEvidenced
“SQL — expert. Warehouse design and optimisation.”
- SnowflakeNot addressed
The CV does not address this — no evidence either way.
- AirflowNot addressed
The CV does not address this — no evidence either way.
- AWSEvidenced
“AWS: S3, Lambda, Glue, EMR”
How it works
From manual process to intelligent workflow
Five stages. The other four are the method; the first is how every engagement starts.
01
Discover
Identify the workflow and the business problem.
We watch the work being done rather than reading the process document. What comes out is a costed plan and an architecture — yours to keep whether or not we build it.
02
Connect
Connect the systems and data you already use.
Establish what moves where, agree the system of record for every field, and build the integration layer with retries and monitoring rather than hope.
03
Intelligent
Apply AI where it creates measurable value.
Extraction, classification, summarisation, matching — the jobs AI is genuinely good at. Measured against a human baseline before anything depends on it.
04
Automate
Remove the repetitive work between the steps.
The mechanical parts run on their own: routing, updates, notifications, filing. Anything requiring judgement still stops at a person.
05
Measure
Track the impact in business terms.
Time, volume, error rate, turnaround. Instrumented from the start so the result is a number you can check rather than a claim we made.
Before and after
What actually changes
A worked example: invoice processing. The same process, before and after the work between the steps is removed.
Before
- Invoice arrives by email
- Someone opens it and reads the PDF
- Opens the accounting system
- Keys in vendor, date and every line item— typo risk
- Emails the approver
- Chases the approver— no status anywhere
- Files the PDF somewhere
- Updates the tracking spreadsheet
After
- Invoice arrives by email
- AI extracts vendor, dates, totals and line items
- Matched against the purchase order automatically
- Exceptions and mismatches flagged— only these need a human
- Approval routed by rule, with a live status
- Approver reviews a summary and decides— the judgement stays here
- Posted to the accounting system
- Document filed and indexed
AI does not replace the person. It removes the unnecessary work around them — and the decision that actually mattered still belongs to a human.
Where it applies
Staffing first, and the departments next to it
Staffing is where our own experience is, so it is where we start. The rest is the same underlying work pointed at a different process. Examples of what we can build — none of these is a claim that it has already shipped.
Staffing & Workforce
Software for the firms that place people, built by someone who has worked the desk.
Operations
The work between the systems, done by people who should be doing something else.
Finance
Document-heavy, deadline-driven, and mostly mechanical until something is wrong.
HR
High-volume paperwork around a small number of decisions that genuinely matter.
Sales
CRM hygiene is the tax on every deal, and it is paid in selling time.
Where we stop
We are a software company, not a staffing firm. We do not source, submit or place candidates, and we will never compete with you for a placement or a client.
That limit is deliberate rather than something we have not got round to. It is what makes it reasonable to let us near your candidate database — and it is the first question worth asking any vendor who wants to be there.
Control
Automate the work. Keep humans in control.
Every workflow sits at one of three levels, chosen deliberately rather than by default — and it can move as the numbers earn it.
Level 1
AI Suggests
The person decides
AI produces a recommendation, a draft or a shortlist. Nothing happens until someone chooses to act on it.
Judgement calls, anything customer-facing, and every process on day one.
Level 2
AI Assists
The person reviews
AI does the work and presents it complete. A person checks and approves, which takes seconds rather than the minutes doing it would have.
High-volume work where the output is easy to verify at a glance.
Level 3
AI Executes
The rules decide
Actions run automatically when confidence and business rules are both satisfied. Everything else falls back to a person, and every action is logged.
Well-understood, high-frequency steps with a measured error rate.
Technology
Built around your technology ecosystem
We adapt to your environment rather than forcing you into ours. If it has an API, a database or an inbox, it can usually be connected.
Business systems
- CRM
- ERP
- HRIS
- Accounting
- Ticketing
- Procurement
Data and storage
- SQL databases
- Data warehouses
- Cloud storage
- Document stores
- Spreadsheets
Connectivity
- REST and GraphQL APIs
- Webhooks
- Event queues
- SFTP and file drops
Where it runs
- AWS
- Azure
- Google Cloud
- On-premises
- Your existing infrastructure
Security
Built for the environment you have to answer for
Security requirements are designed around your environment, data sensitivity and compliance obligations — not a checklist we apply to everyone.
We hold no security certifications and do not claim any. If your procurement process requires SOC 2, ISO 27001 or a signed BAA, tell us early — it changes what we can responsibly take on.
- Least-privilege access to every connected system
- Secure API authentication with credentials you own and can revoke
- Encryption in transit and at rest
- Audit logging of automated actions
- Role-based access control
- Human approval gates on consequential steps
- Separated development, staging and production environments
- Data minimisation — we move what the workflow needs, not everything
- Configurable retention, set to your policy
- Monitoring and alerting that reaches a person
Where we stop
How we handle your data and your code
You are being asked to let a vendor into your systems. That deserves a straight answer about where we stop, so here it is in writing.
Your data stays in your systems
We build inside your infrastructure and your accounts wherever your environment allows it, and we take no copies away.
Nothing crosses between clients
Your workflows and your process improvements are yours. They do not become the next engagement’s head start.
We do not train models on your data
And we do not use your business as a case study without written permission.
We sign your NDA before the detailed conversation
Not after it, and not once the scope is already on paper.
Start here
Begin with a short discovery, 1–2 weeks
Fixed price, fixed scope, and no commitment to build anything afterwards. We map the workflow, work out what is genuinely automatable and what is not worth touching, and hand you an architecture and a costed plan for the build.
- You keep the plan either way — take it to another firm if you prefer
- No retainer, no lock-in
- An honest answer if software is not the fix
Start small
Find one workflow worth automating
You do not need to replace your technology stack. Start with one process that costs your team hours every week, and find out what it would take to fix it.