Autonomous systems architecture · Enterprise NetSuite

Enterprise NetSuite. Two paths to value creation.

For private-equity sponsors, operating partners & enterprise technology leaders

Connect acquisition decisions to an executable operating plan. DataOngoing.AI combines enterprise NetSuite architecture with Aissistor™ schema-governed agents to assess technical debt, plan portfolio integration, and investigate margin leakage.

Explore the Aissistor™ platform

Two tracks. One evidence-led approach.

Choose the operating mandate that fits your team.

01 / Private equity & portfolio teams

The 100-day value creation playbook

For sponsors, operating partners, and portfolio-company CFOs assessing acquisition risk, planning carve-outs, and investigating working capital leakage. The 100-day plan is a planning framework, not a delivery commitment.

  • Pre-close technology due diligence
  • OneWorld multi-entity consolidation
  • Working capital and margin recovery analysis
Explore the private-equity playbook

02 / Platform, investors & technology teams

Aissistor™ governed agent infrastructure

For enterprise architects, CTOs, and investors exploring Service-as-Software: specialized NetSuite workers, explicit permission boundaries, and reusable engineering workflows.

  • 12 core agents across four categories
  • Schema-validated, deterministic tool calls
  • SuiteScript modernization and review workflows
Inspect architecture and unit economics

Model the opportunity. Inspect the assumptions.

Modeled scenario

$1B+

Illustrative transaction-flow scale

80+

Entities in a consolidation model

$280K

Modeled annual AP recovery

$200K

Modeled annual license savings

Modeled composite scenarios—not named-client results. Figures illustrate assumptions, not measured outcomes. Timing is established after authorized evidence review.

Read the modeled scenarios and their basis

What happens next

Start with the problem. We agree on the work before we begin.

  1. Review your problem

    Tell us what is not working. A sanitized sample can help, but a file is not required to make an inquiry.

  2. Agree to the scope

    After reviewing your data and dependencies, we confirm deliverables, price, timing, access, and acceptance criteria.

  3. Implement and validate

    We build the agreed change, test it against the acceptance criteria, and hand over the controls and documentation.

Bring the operating question. Start with evidence.

Tell us about the acquisition, ERP dependency, or operating bottleneck. We establish scope, authorization, and confidentiality requirements before reviewing sensitive evidence.

Explore the research

Remove personal, regulated, and confidential data before sharing a sample.

Before you get in touch

What should I share, and is a file required?

Describe the workflow or data problem in a few sentences. A file is optional. If you share a sample, remove personal, regulated, and confidential information first. Never send passwords or access credentials through the inquiry form.

How are price and timing determined?

We review your data, access, scope, source readiness, and testing requirements before confirming commercial terms and a delivery plan. Figures and timelines on this site are not a quote for your project.

What do the modeled figures mean?

The figures are modeled composite scenarios, not measured customer results. Each private-equity scenario explains its assumptions and arithmetic boundary. License savings, AP cash recovery, and freight recovery have different accounting treatments; we assess the actual costs and treatment from authorized evidence.

Which track should I choose?

Choose Private Equity for acquisition diligence, portfolio integration, and working capital analysis. Choose Platform for the Aissistor agent directory, governance architecture, and unit economics. If both apply, describe your priorities in the intake. An acquisition is not required.