Organised by what changes.
Nobody wakes up needing an agentic workflow runtime. They wake up because enquiries are going unanswered, or the numbers do not agree, or one person is the only thing holding the operation together. These are those problems.
Seven results.
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Automate work
The situation. People are doing work a system should do: copying between tools, chasing status, re-keying the same record, remembering what has to happen on Thursday.
The result. The coordination overhead moves into a system that does it identically every time and writes down what it did. Headcount goes to work that needs judgement.
- Workflow automation across existing tools
- Document and message intake
- Scheduled and event-driven jobs
- Exception routing to a named person
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Connect systems
The situation. The tools you already pay for do not talk to each other, so a person has become the integration layer — and that person is the single point of failure.
The result. The stack behaves as one system. Records move without anyone moving them, and when a connection breaks it says so instead of going quiet.
- Connector per system, independently deployable
- Normalised events so logic is source-agnostic
- Schema-drift detection that errors rather than nulls
- Replay and backfill without touching sources
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Build intelligent agents
The situation. An agent demo works. An agent in production fails at 3am, retries, does the thing twice, and nobody finds out until a customer calls.
The result. Agent work that runs every day: durable state, idempotent tool calls, scoped permissions, a human gate on anything material, and a trace you can replay.
- Durable runs that resume after restart
- Idempotent side effects
- Per-run tool scopes, not ambient access
- Deterministic replay for dispute and regression
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Structure data
The situation. Four systems, four versions of the same number. The monthly meeting is spent reconciling instead of deciding.
The result. One modelled layer people and machines both read from, rebuilt on a schedule, with every published figure traceable to the field it came from.
- Read-only extraction through published APIs
- Raw preserved, model rebuildable from raw
- Tests that block publication, not warn after
- Column-level lineage
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Create decision systems
The situation. The information needed to make a decision exists, but it arrives in a report a week after the decision was made.
The result. The relevant figure is in front of the person at the moment they decide, with the assumption behind it visible and the definition named.
- Operational dashboards over the modelled layer
- Threshold alerts to a named person
- Scenario and variance views
- Definitions version-controlled and shown
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Modernize operations
The situation. The business runs on habit, spreadsheets and one person's memory. It works until it is asked to do twice as much.
The result. The operating system of the business gets rebuilt without stopping the business — usually with MDS Logistics coordinating the physical and human side while this division builds the technical one.
- Operational audit before any build
- Phased replacement, not a big-bang cutover
- Field and digital coordination through MDS
- Verification that the new system actually performs
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Build custom platforms
The situation. Nothing off the shelf fits the operation, and the closest thing would require rebuilding the business around the software.
The result. The thing gets built, and you own it — source, data and deployment. No hostage position on renewal day.
- Product and architecture definition
- Build, deploy, operate
- Ownership of source and data
- Documented handover if you take it in-house
How an engagement actually starts.
| 01 — Assessment | We look at the systems, the data and the handoffs, and write down what is wrong and what it is costing. Delivered as a document, not a pitch. |
|---|---|
| 02 — Architecture | The system that answers it, specified: components, boundaries, integrations, security model, failure modes, and what a person still has to approve. |
| 03 — Build | Smallest complete version first. Working beats comprehensive, and a thing in production teaches more than a thing in design. |
| 04 — Integrate | Connected to what you already run. Read-only where it can be, scoped where it cannot. |
| 05 — Operate | Run it, watch it, fix it — or hand it over documented, if you would rather own the operation. |
| 06 — Verify | Measure the thing the system existed to fix. If the number did not move, that is a finding we report, not one we bury. |