Data & Integration
Integrations that are durable, observable, and easy to evolve. Data that downstream consumers actually trust. Both are bigger constraints on AI ambitions than most strategy decks acknowledge.
Why it matters
Every digital initiative eventually runs into the same two questions: can the systems talk to each other reliably, and can we trust the data that comes out the other side. The answer is more often “kind of” than anyone is comfortable admitting.
Integration sprawl is the most common cause. Point-to-point connections accumulate over years; nobody fully owns them; observability is patchy. When a key integration breaks, three teams take an afternoon to figure out which one. Multiply that across the estate.
Data quality is the other constraint. Master data drifts because no system was ever designated as the source of truth. Consumers downstream learn not to trust certain fields. AI models trained on this data inherit every problem.
We work the foundation deliberately — integration platform, master data, observability, data contracts — because the value of every layer above depends on it.
How Amazon Consulting helps
A grounded engagement on the parts of the data and integration estate that most constrain the business.
Estate review
Inventory key integrations, master data domains, and observability gaps. Identify the few that most constrain delivery and AI ambitions.
Integration platform
Stand up or rationalize the integration platform — iPaaS, ESB, event streaming — with the patterns and governance to keep it from becoming the next sprawl.
Master data discipline
Designate sources of truth, data ownership, and data contracts for the domains that matter. The work is unglamorous and consequential.
Observe & evolve
Make integration health and data quality visible to the people who can act on them. The estate stops drifting in the dark.
AI & data foundations
AI ambitions are bounded by the data underneath. Generative use cases are forgiving up to a point; agentic and decision-grade use cases are not. We are direct with clients about which AI bets require foundation work first — and we sequence accordingly.
Recent engagements
Recent engagements have included integration platform consolidation, master data uplift in regulated industries, and pre-AI data readiness assessments. Specifics under NDA.
Related services
Build the foundation before the ambition.
A focused engagement on the integrations and data domains that most constrain the business usually unlocks more than any single application initiative.