.NET Engineering
ASP.NET Core services and enterprise APIs, including the unglamorous work of getting a fifteen-year-old system to talk to something built this year.
SOLUTION · OPERATIONS
Approvals that currently live in email, running as a system that can be audited.
TARGET PROFILE
Built specifically for operational teams experiencing structural friction at scale.
For operations teams running approvals through email threads and a shared spreadsheet, where nobody can answer "who approved this and when?" without asking three people, and where the person who knows the exceptions is the reason the process works at all.
A process that runs through email works right up until somebody needs to answer a question about it. Where is this request now? Who is holding it? Was the exception on that one approved, and by whom? Each answer requires a person to search their own mailbox, and the composite answer exists nowhere. That is uncomfortable during a normal week and expensive during an audit, a dispute, or a handover. The underlying issue is that email has no concept of state — a message is sent or not sent, and everything about position, ownership, and deadline lives in the memory of whoever has been doing this longest. When that person is on leave, the process does not slow down; it stops having a definition.
SYSTEM MODULES
Every component is engineered for multi-tenant security, auditability, and zero-downtime maintenance.
An explicit state model for the process, including the exception paths people actually use
Routing and assignment rules, with delegation and escalation when somebody is unavailable
Deadlines and reminders that chase automatically instead of relying on someone remembering
A complete decision record: who acted, when, on what version, and what they saw at the time
Forms and validation that stop an incomplete request before it enters the queue
Integration with the systems the outcome has to reach, so approval is not followed by re-keying
Reporting on cycle time and where work actually waits, rather than where people assume it does
ARCHITECTURE
How the core modules, data boundaries, and integrations connect in production.
Node 01
Structured submission with validation at the boundary. Most delay in an approval process is caused by requests that were incomplete when they entered it.
Connects to
Node 02
States, transitions, and the rules governing them, defined as data rather than scattered through code, so a process change is a configuration change and not a release.
Connects to
Node 03
Who receives what, by role, value threshold, or delegation, with escalation when a step exceeds its deadline and cover when someone is away.
Connects to
Node 04
Supporting files held against the case with versioning, so an approval attaches to the document as it stood at the time, not to whatever replaced it later.
Connects to
Node 05
Timed prompts, escalations, and digests, with action possible from the message where it is safe to allow it.
Connects to
Node 06
The finance, resource planning, or line-of-business system the decision must reach, updated by the workflow rather than by somebody re-typing the result.
Connects to
Node 07
Append-only history of every transition, actor, timestamp, and comment. This is the artefact that makes the whole thing worth building.
Connects to
Node 08
Cycle time, queue depth, and time-in-state per step, which usually reveals that the delay is somewhere other than where the team believed.
Connects to
TECHNOLOGY DEPTH
Standardized architecture frameworks and data components integrated in this solution.
QUESTIONS & ANSWERS
Direct answers to common technical and engagement questions.
Sometimes, and where the process is genuinely standard we will tell you so rather than quote for building it. Custom becomes the better answer when the routing rules are unusual, when the integration requirements are heavy, or when per-seat licensing across a large operations team exceeds what the build costs within two years.
Exceptions are usually the reason to do it, not the reason not to. The first stage is mapping them, at which point most turn out to be a handful of recurring patterns rather than genuine one-offs. The ones that remain get an explicit manual-override path, recorded like any other decision, so the exception is visible instead of invisible.
We usually take the single highest-volume path to production first, run it alongside the existing process, and add the remaining paths once it has proven itself. That gets real usage early and means the rollout is not one event that everybody has to be ready for on the same morning.
That depends on the standard you are audited against, and it is worth involving whoever answers those questions during the design rather than after. What the system provides is an append-only record of every decision with actor, timestamp, and the document version in view at the time — which is normally the substance of what is being asked for.
Tell us what you're working on. We'll tell you honestly whether we're the right team for it.