The situation
Data is siloed and nobody shares its meaning
“Customer”, “asset” and “order” — or “account” and “exposure” in a bank — are defined differently in every system, so each report is reconciled by hand.
You own the platform. SCIKIQ brings the framework, the accelerators and the people who design, build and run it with you — until your own teams take over.
The technology rarely fails on its own. Programmes stall where data, meaning, control and people are not designed together.
“Customer”, “asset” and “order” — or “account” and “exposure” in a bank — are defined differently in every system, so each report is reconciled by hand.
Proofs of concept impress in a demo, then stall on data access, security review and the question of who will run them.
Copilots can summarise, but every change to an ERP, ledger, billing or case system is still keyed in by a person.
BCBS 239 in banking, IFRS 17 in insurance, CERC filings in power, RERA in real estate, SOX and the DPDP Act everywhere — reviewers want proof of where a number came from and who approved each decision.
The same twelve layers we score in the maturity assessment. Select a layer to see what your organisation gets, who leads it, which accelerators run on it and what your team owns at the end.
Our delivery lens: Connect → Curate → Contextualize → Consume. Pick a step to see the layers it builds.
Every layer has a single SCIKIQ service line accountable for it, with named support. At handover, every layer is owned by your team.
Hover or use the arrow keys to read the matrix.
A single pod covers strategy to operations, so nothing falls between vendors. It flexes by phase — and your people pair with every role from the first week.
Bar length shows how much each role is involved. Your team’s share grows until it owns the platform.
| Role | Discover | Design | Build | Embed |
|---|
Phase-gated delivery with sprint execution, weekly status and bi-weekly steering. Every phase leaves an artefact in your hands.
Maturity assessment & target blueprint, with a prioritised roadmap
Target-state design & ontology, mapped to your controls
Landing zone as code, pipelines, accelerators & agents configured
Runbooks, evaluation suites and knowledge transfer to a trained team
Choose how SCIKIQ works with your teams — and change it as you mature.
Architects, data and AI engineers embedded in your teams, under your delivery lead.
Outcome-based delivery of an accelerator or platform build by a SCIKIQ pod, with phase gates.
We run and improve the platform, models and agents — DataOps, MLOps and AgentOps under agreed SLAs.
One accelerator and its agent squad on your real data, in your tenancy, under your controls.
More domains and layers on the same foundation, with autonomy raised on evidence and your team taking the lead.
Worked example from banking (the same flow runs a discom’s collections, a distributor’s claims or an airline’s settlements): a settlement on the payments rail doesn’t match the ledger. Here is how the layers — and the people — handle it, from source to audit trail.
Watch it liveThe payment rail reports a settlement the core ledger hasn’t booked the same way — amount and value date differ.
Change-data capture brings both records in within minutes, quality-checked, as governed data products.
The records resolve to the same counterparty, nostro account and product, with lineage back to each source.
Matching rules, similar past breaks and the recon procedure are pulled together — only what this analyst is entitled to see.
It plans, calls its tools through the secure AI gateway, finds a candidate match and proposes a decision with evidence and a confidence score.
Kill switch, autonomy level, confidence and amount limits decide: straight through, or to a person.
The operations analyst reviews the evidence on one screen and approves, edits or rejects the proposal.
A governed, typed action resolves the break in the reconciliation system — limited, idempotent and reversible.
Each step, tool call and decision is recorded; outcomes feed the evaluation that decides whether autonomy can be raised.
The framework is cloud-agnostic. We deploy it where your data and your controls already are.
Deployed in your own cloud subscription or data centre — never a shared SCIKIQ environment.
Azure, AWS or GCP, and hybrid with on-prem connectivity for core systems that stay put.
Data and model calls stay in the regions your regulators require; the AI gateway enforces it.
Every environment is code or configuration, tested automatically and reproducible from dev to prod.
Integrates with your identity provider, key management, network controls and access reviews.
The same landing-zone patterns are used for deployments in every industry, on any major cloud.
In six weeks we score your twelve layers with evidence, agree the target state and propose a 30–45 day accelerator pilot — with the pod that would deliver it.