Three challenges. Three different leaders. One shared consequence – manual rework, slow onboarding, and decisions no one can fully explain.
The VP of Data & Analytics is manually chasing exceptions across dozens of partners, time zones, and file formats. Engineers spend more time fighting fires than building capability.
The CFO questions every number because there is no clear way to explain how it was derived. When auditors ask how a decision was made, no one has a complete answer.
Every new partner triggers a custom integration project. File formats, validation rules, and governance approvals stretch onboarding into weeks the business cannot afford.
Reporting lags reality. By the time exceptions are cleared and data is reconciled, the decisions leadership needed to make are already overdue.
Infocepts ADP runs four specialized agents in sequence. Each agent makes decisions. Each explains those decisions. Each hands off to the next with full context – turning a manual data operation into a self-healing, traceable one.
The Ingestion Agent automatically collects files from any source system, partner SFTP, cloud storage, or API. No custom integration code per partner. No manual file collection. No time zone gymnastics.
The File Validation Agent checks structure, schema, and integrity at the door. Bad files are flagged before they contaminate downstream pipelines - with the reason, the rule, and the confidence score logged.
The Data Validation Agent applies your governed business rules to every record. When a record fails, you see exactly which rule fired and why - no debugging, no detective work.
The Enrichment Agent applies mappings, transformations, and reference data lookups. Every code mapping, every transformation, every governed approval has full comment history.
Your team opens ADP and sees live pipeline status, exception counts, and records processed - not yesterday's report, not last week's ticket. Right now, across every partner and every flow.
A data analyst - not an engineer - walks through a guided setup for a new JV partner. Define the domain. Attach the ingestion contract. Set the rules. Approve. What took weeks now takes hours.
Infocepts ADP is a fully agentic platform built on Databricks Lakehouse Architecture. It scales across countries, formats, and partners without scaling your team – and leaves a verifiable audit trail behind every decision.
Ingestion, File Validation, Data Validation, and Enrichment agents work in sequence – each makes decisions, explains them, and hands off with full context.
Your full ruleset is applied automatically to every file and every record. No manual exception chasing. No ticket queues. No ruleset drift across partners.
Every validation, mapping, and transformation is logged with the rule that fired, the confidence score, and the timestamp. Your auditors can follow every step.
Rules go through versioned approval workflows with full comment history. Every change is attributable, every version is recoverable, every approval is auditable.
Guided setup for new JV partners – defining the domain, attaching the ingestion contract, setting rules, and approving them – runs as an analyst workflow, not an engineering project.
Native integration with Delta Lake, Unity Catalog, and the broader Databricks platform – for governance, scalability, and security at enterprise scale.
When the data operation runs itself and explains itself, engineers stop fighting exceptions, partners onboard at the pace of business, and leadership gets numbers they can stand behind.
Engineers Build Instead of Fight
Manual exception handling drops sharply. Engineers shift from chasing data quality issues to building new capability and unlocking new use cases.
Partners Onboard in Hours
New JV partners go live in hours instead of weeks - with consistent data quality from day one across every market and format.
Numbers Leadership Can Trust
Every decision Infocepts ADP makes has a logged rule, confidence score, and approval trail. CFOs can explain. Auditors can follow. The business can move.
Operation Scales Without Headcount
Add countries, formats, and partners without adding people. Infocepts ADP scales horizontally on Databricks - the data operation no longer scales with the team.
Wants to free the team from chasing exceptions across partners, formats, and time zones - and shift engineering capacity to building new capability.
Needs new joint venture partners onboarded in hours, with consistent data quality from day one - without dedicating engineering teams to each integration.
Wants a clear audit trail behind every reported number - and the ability to explain to auditors and the board how each decision was made.
Wants governed, auditable data operations across the enterprise - with versioned rules, traceable decisions, and a foundation that scales.
Infocepts ADP is built on Databricks Lakehouse Architecture and integrates with a strong ecosystem of data, cloud, and governance partners – accelerating deployment within your existing international operating model.
Explore insights on agentic data platforms, autonomous data governance, and joint venture data operations for global enterprises.
Infocepts ADP (Agentic Data Platform) is a fully agentic solution built on Databricks Lakehouse Architecture for international planning and joint venture data operations. It runs four specialized agents – Ingestion, File Validation, Data Validation, and Enrichment – that validate, enrich, and govern data autonomously, with a full audit trail behind every decision.
Infocepts ADP applies your full ruleset automatically to every file and every record. The four specialized agents collect, validate, and enrich data autonomously – eliminating the manual exception chasing that consumes engineering capacity, so teams shift from fighting data quality fires to building new capability.
Infocepts ADP is designed for VPs and Directors of Data & Analytics, CFOs needing audit-ready decisions, Heads of JV Operations onboarding new partners, and Chief Data Officers governing data operations across the enterprise. It is built for organizations running international planning or joint venture data operations across many partners and formats.
Every decision Infocepts ADP makes – every validation, mapping, and transformation – is logged with the rule that fired, the confidence score, and the timestamp. Rules go through versioned approval workflows with full comment history, so auditors can follow every step and CFOs can explain every number.
After initial deployment, a data analyst – not an engineer – onboards a new JV partner in hours through a guided setup: define the domain, attach the ingestion contract, set the rules, and approve. What previously took weeks of custom integration work now takes hours.
Infocepts ADP typically goes live for the first production flow in 8 to 12 weeks on Databricks Lakehouse Architecture. After that initial deployment, new partners onboard in hours as the agentic foundation and governed ruleset are reused.
