Inside the system, not beside it.
Intake and qualification, ticket triage, internal question answering over your own records, scheduling, escalation routing, drafting with a human approval step.
AISTORSServices
ServicesIf a group is not on this list, we do not do it.
Applied AI and cloud engineering, delivered inside your own accounts. Every group below starts with the same diagnostic, records a baseline before anything is built, and hands over documentation your team can rebuild from. Each page says who the work is for, what it fixes, and who it is not for.
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Where every engagement starts
One process, measured, before anything is designed. The diagnostic can end with a written recommendation not to build, and when that is the honest answer it is the cheapest one.
Before anyone writes code, we establish whether AI is the right answer and what it is worth.
It exists because the most expensive AI project is the one that should never have started. Three to five days, or a single day for a solo operator or small business. You leave with a measured baseline of the target process, three prioritised opportunities, a data readiness verdict with named integration points, an implementation plan, risk and compliance flags, and a written go or no-go recommendation.
If the recommendation is no, you keep the report, the baseline method and the plan, and there is no further commitment. That happens, and we would rather it happened at this stage.
If a group is not on this list, we do not do it. That is the point of publishing the list.
Inside the system, not beside it.
Intake and qualification, ticket triage, internal question answering over your own records, scheduling, escalation routing, drafting with a human approval step.
The procedure already exists. It just isn't running itself.
Document processing, CRM hygiene, quoting, reconciliation, ticketing, month-end close.
Answers from your own records.
Enterprise search, retrieval grounded in your documents, pipelines, private and self-hosted models where data cannot leave your estate.
Only where the history is long enough to test against.
Demand forecasting, inventory and replenishment, pricing support, churn, fraud and anomaly detection, predictive maintenance, computer vision.
Built once, documented, handed over.
Landing zones, migration waves, Kubernetes, infrastructure as code, observability, site reliability engineering, cloud security.
Rightsize first. Commit second.
Rightsizing, commitment coverage, storage lifecycle, AI token and GPU attribution so inference spend reaches the team that caused it.
Move the few that are cheaper. Leave the rest alone.
Placement analysis, selective repatriation, hybrid design, sovereignty architecture, exit cost and lock-in analysis.
Written down before anyone asks for it.
EU AI Act readiness, ISO 42001 readiness, HIPAA, SOC 2, GDPR and DPDP programme support, red teaming of deployed systems.
The same four measures, every month.
Drift detection, model upgrade handling, escalation, compliance reporting against the baseline recorded in the Diagnostic.
You should not need us in year two.
Runbooks, infrastructure as code handover, evaluation practice for your team, internal AI usage policy, working sessions with the eventual owners.
These are commitments rather than preferences, and they are the same on every engagement on this page.
Where you are is not the constraint. The hours we can overlap with you are, and we state them rather than imply them.
Work is built and run inside your own tenancy, in your own region, on your own accounts and your own model provider contracts. Where your data cannot leave a jurisdiction, open-weight models run fully self-hosted in your estate. That is what makes distance workable: there is no platform of ours you have to send data to, and no region of ours you have to accept.
It also means the exit is the same wherever you are. Code, configuration and runbooks live in your repository from the first week, so ending the engagement is an administrative act rather than a migration.
A working-day overlap without anyone keeping unsocial hours, which means live design sessions, same-day decisions and a normal escalation path. This is the widest overlap we have and the easiest to commit to in writing.
An afternoon and evening overlap from our side, which is sustainable and is stated in the contract rather than left to goodwill. Design and review sessions are scheduled inside it; build work continues outside it.
There is no honest natural overlap here. These engagements are run asynchronously with a named associate for cover, and we will tell you plainly if we cannot staff that rather than promise a window we would miss.
Contracting entity ‹FILL: legal entity name and jurisdiction›. Invoicing currency ‹FILL: USD for international engagements, INR for India›. Coverage hours, response commitments and escalation paths are stated per engagement rather than published as a single figure, because they differ by tier.
AI capability and data handling
Which model providers we use, on what terms, with training on your data disabled and every sub-processor named before you sign.
Service 08AI governance and compliance
Where the audit trail, model documentation and incident playbook are built as evidence rather than as a policy pack.
Service 10Enablement and handover
How the work leaves our hands and stays working in yours, tested by your team operating it while we watch.