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An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
Enterprise software is distinguished less by size than by context. It operates inside an existing estate of systems, serves users who did not choose it, and must satisfy people who will never use it — security, compliance, procurement, audit.
Practically, that means the interesting engineering is rarely the feature list. It is single sign-on against a directory you do not control, data residency requirements, audit trails that survive legal scrutiny, and integration with systems whose documentation is a decade out of date.
Large organisations accumulate systems faster than they retire them. The result is the same customer record in six places, none authoritative, and staff reconciling by hand. Software that resolves that has compounding value, because every downstream process depends on the data being right.
The other driver is risk. Systems that cannot produce an audit trail, cannot enforce separation of duties, or run on unsupported platforms are liabilities. Replacing them is often mandated rather than chosen.
Our approach
We treat integration as the primary design problem, not an appendix. The question is never just what the system does, but what it reads, what it writes, which system is authoritative for each field, and what happens when two disagree. Getting that wrong produces data corruption that surfaces months later.
We design for the audit before it is requested. Who changed what, when, on whose authority, and what the value was before — recorded immutably rather than reconstructed from logs. Retrofitting this is far harder than building it in.
We plan for parallel running. Enterprises rarely tolerate a cutover weekend. The realistic path is old and new operating together while data reconciles, with a rollback that stays viable for weeks rather than hours.
Capabilities
Connecting ERP, CRM, HR and finance systems with explicit ownership of each field and reconciliation when they disagree.
SSO through SAML or OIDC against Active Directory or Okta, with role mapping and automated provisioning.
Immutable change history, separation of duties and evidence export in the form auditors actually ask for.
Moving historical records with validation, reconciliation reports and a documented rollback path.
Redundancy, failover and disaster recovery designed against a stated recovery objective rather than best effort.
Working with SOAP, flat-file transfers and mainframe exports without pretending they are modern APIs.
Stack
Process
Mapping the systems involved, who owns each, and which holds authority for which data.
Interfaces, data ownership and conflict resolution agreed with each system owner before building.
Engaging security and compliance early, since their requirements shape architecture rather than decorate it.
Delivering in slices that each provide standalone value, because multi-year big-bang projects fail predictably.
Old and new operating together with reconciliation reports until the numbers agree consistently.
Runbooks, architecture documentation and training for the team who will operate it long-term.
Use cases
Where the same entity exists across several systems and no one can say which version is correct.
Where a platform has reached end of life and the risk has become a board-level concern.
Where a regulatory requirement cannot be met by the current system at any reasonable cost.
Processes spanning several teams, each with their own tools and none with the whole picture.
Outcomes
FAQ
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