Atomic HR
Find a place where HR is still carrying work that doesn't have to be prepared, analysed, or coordinated manually.
Talent acquisition · HR operations · development · engagement · compensation
Explore Atomic HRMake more
possible.
Turn one business problem into a working AI solution, completely built around your process, data and systems.
Atomic HR · Talent Acquisition
Candidate Screening
CandidateSarah M.
RoleAccount Executive, DACH
JD match score87 / 100
6 years B2B SaaSEN / DEMarket fit
Recommendation — strong match for a first interview.
Start where the case is strongest.
Atomic Finance
Start with a finance process where manual handling, fragmented information or repeated checks are slowing the work down.
Procure-to-pay · order-to-cash · treasury · reporting · planning
Explore Atomic FinanceBuild your own
Still defining where AI could create the most value? We assess the opportunities with your team, compare potential use cases and identify the one worth developing.
Build your ownValidate before you commit.
01
Define the use case
Choose one problem with a clear business reason to solve it.
- Understand the current process
- Define the expected result
- Agree the scope
Use case selected
02
Map what it needs
Identify the data, documents, systems, rules and people the solution depends on.
- Existing systems
- Available data
- Business rules
- Security requirements
Environment mapped
03
Build and validate
Develop the use case around the real conditions of your business and test whether it delivers what was agreed.
- Real company context
- Defined success criteria
- Working proof of concept
PoC delivered
04
Decide what earns the next step
Take it further, add another use case, broaden the scope, or stop.
- Go deeper
- Go broader
- Go beyond
You decide what scales
No company-wide programme required to find out whether one use case is worth pursuing.
01
Prove it before you scale it
Test the use case in the reality of your business with your data, constraints and success criteria.
02
Advance without disrupting what already works
Introduce new capability without forcing unnecessary change across the systems that already support the business.
03
Keep the scope under control
One problem, one expected result and one defined test make progress easier to evaluate.
04
Make the rollout decision easier
Use the first implementation to establish a clearer view of value, requirements and operational fit.
Explore use cases.
Each use case starts with a specific piece of work and ends with something the team can test in its own environment.
Atomic HR · Talent Acquisition
Candidate Screening
Compare incoming candidates against the requirements of the role and prepare a structured first-pass assessment for recruiter review.
Explore Candidate ScreeningAtomic HR · Talent Acquisition
Job Description Assistant
Use company knowledge, previous roles, policies and competencies to prepare job descriptions ready for HR and hiring-manager review.
Explore Job Description AssistantAtomic Finance · Procure-to-Pay
Invoice Indexing
Extract and validate invoice information so it can move into approval and downstream finance processes with less manual handling.
Explore Invoice IndexingOne atom could start a chain reaction.
Go deeper
Take the same use case further.
Expand the scope, add more data, introduce additional steps or move closer to production.
Go broader
Apply the same approach to another use case or business function.
What starts in one team can become the basis for the next opportunity elsewhere.
Go beyond
Turn individual use cases into a wider Data & AI roadmap.
Once enough is proven, step back and decide where the larger opportunity lies.
Built for your environment.
Your infrastructure or Atomic-provided infrastructure
Run inside your own environment where required, or use infrastructure provided and operated by Atomic.
Data layer
Your data and systems
Documents, records, rules and tools already in place.
Solution layer
Atomic solution
Built or configured around the selected use case.
Process layer
Your business process
The result returns to the work where it is needed.
Your company data stays under the agreed controls and is never used to train public models.