HR Data Reconciliation
Data checks across sources
Compare records across sources and flag differences for review.
Explore data reconciliation
Private HR Tools as a Service
Bespoke tools for the way your HR team works
Private HR Tools as a Service is an engagement model for improving a defined part of HR operations. We start with the workflow, agree the rules and assess what can be built and deployed in your environment.
Four development areas
HR Document Engine
Documents from approved templates
Prepare documents from templates and structured data, with human review before use.
Explore document workflowsHR Reporting Studio
Repeatable HR reporting
Define reporting steps and metrics your team can repeat and explain.
Explore HR reportingPrivate HR Automation
Rules for recurring work
Connect recurring tasks through clear rules, exception handling and ownership.
Explore workflow automationBespoke development areas. Features are agreed after discovery.
What an engagement can include
A process map and requirements; workflow and interface design; a bespoke tool; validation and exception handling; setup in the agreed environment; user and operational documentation; training; and maintenance where contracted. Deliverables are agreed before development.
When it may fit
You have recurring work, rules that can be defined and someone who can validate the output. You can identify the source data and the intended operating environment.
What we clarify first
Whether the problem needs a new tool or better use of an existing one; data quality; access and integration; output approval; IT requirements; costs and usage rights.
From a clear workflow to a tool your team can use
- Audit
- Process design
- Custom tool
- Local installation
- Documentation
- Training
- Maintenance
Frequently asked questions
Are the tools already available?
The four areas describe tools that can be developed for a specific engagement. Features, compatibility and deliverables are agreed after reviewing the workflow.
Do we need to replace our existing systems?
That is not the starting assumption. We assess what can be improved with your current tools and where a bespoke component may help. Integrations depend on the capabilities and permissions of existing systems.
What does local deployment mean?
The tool runs in an agreed, client-controlled environment, such as a compatible workstation or internal server. Discovery establishes requirements, dependencies and any need for external connections.
Does local deployment ensure GDPR compliance?
No. Local deployment alone is not sufficient. Compliance depends on the processing context, data, access, retention, legal grounds and organisational measures. Relevant requirements need review with the client’s responsible stakeholders.
Does this require AI?
No. Technology follows the problem. Explicit rules and deterministic automation may be enough. Any use of AI or external services needs separate assessment and agreement.
Who reviews the outputs?
The client designates reviewers for data, documents and outputs. The project defines approval points, including when a workflow must stop.
How are pricing and maintenance agreed?
The proposal depends on scope, complexity, environment and deliverables. Maintenance, updates and later changes are explicitly agreed and are not included automatically.