One platform. One delivery practice.Lotuspond

Make complex work clear enough to act on.

AG2 helps AI teams prove whether an agent change should ship before it reaches production. Lotuspond Build maps difficult operational workflows and delivers the software and agents that move them into production.

From workflow discovery through deployment and iteration, each decision, boundary, and human handoff stays visible.

Explore AG2Explore Lotuspond Build
01AG2Agent release assuranceReleases · Scenarios · Evidence · GovernanceFor CTOs, AI platform owners, and engineering managers02Lotuspond BuildAI-native software deliveryDiscover · Design · Build · OperateFor operations, product, and transformation teams

The product line

Different jobs. The same demand for clarity.

Each product is designed around the people doing the work—not around a generic AI interface.

AG2 · Agent release assurance

Know whether an agent change should ship—and why.

AG2 is for teams that already have agents and need a defensible release decision. It connects repeatable scenarios, production evidence, release policy, and governance without asking the team to replace its framework or model gateway.

What it helps you do

  • Connect an existing agent workflow without changing frameworks.
  • Replay the business scenarios a release must pass.
  • Compare a candidate with its baseline on quality, latency, and cost.
  • Promote production failures into repeatable regression coverage.
  • Export the evidence and known gaps behind a pass or block decision.

What is inside AG2

  • Release policies, outcome receipts, decisions, and evidence
  • Customer-owned scenarios, environments, task suites, and runners
  • Evaluation runs, release gates, traces, incidents, latency, and cost
  • High-risk action policies, approval queues, and tool posture
  • API keys, telemetry exports, organization access, and pilot readiness

Who it is for

CTOs, AI platform owners, engineering managers, and safety teams accountable for production agent releases.

Operational boundary

AG2 records available evidence and unmet prerequisites. It does not certify an agent, guarantee an outcome, or prove an external deployment system enforced the verdict.

Evaluate one releaseDesign a release-assurance pilot

Lotuspond Build · AI-native software delivery

Turn an operational bottleneck into software that works in production.

Lotuspond Build is a productized delivery practice for difficult operational workflows. We discover how the work actually moves, design the operating model, build the software and agents, validate realistic edge cases, and stay through deployment and iteration.

What it helps teams do

  • Map the operators, systems, handoffs, exceptions, approvals, and measurable outcome.
  • Design an operating model around the stack, data access, and controls you already have.
  • Build the software, agents, integrations, and human review paths the workflow needs.
  • Validate realistic scenarios, failure paths, and consequential decisions before launch.
  • Deploy into the approved environment, observe the workflow, and improve it with evidence.

How Build delivers

  • Workflow diagnostic and measurable baseline
  • Operating-model and product design
  • Application and agent implementation
  • Integrations, data access, and review controls
  • Scenario, exception, and failure-path validation
  • Deployment, observability, and production iteration

First focused solution

Hospital equipment contract recovery is the first Build implementation: it joins approved contract clauses, service evidence, reviewable recovery cases, vendor outcomes, and finance realization. It demonstrates the delivery model; it does not limit Build to healthcare.

Who it is for

Operations, product, engineering, and transformation leaders with a valuable workflow that generic software has not solved.

Operational boundary

Scope, integrations, access, deployment, support, and target outcomes are defined for each engagement. Build does not assume live system access, remove required human authority, or promise an outcome before it is measured.

See a Build solutionDiscuss a workflow diagnostic

The Lotuspond standard

The interface should show its work.

AG2 and Build solve different problems, but both make the present state, supporting evidence, and accountable next action clear.

01

The state is visible.

Runs, traces, source evidence, ownership, exceptions, and prerequisites stay close to the work they describe.

02

Evidence stays attached.

Every release, operational decision, exception, approval, and handoff keeps the evidence and reason behind it.

03

Human decisions stay human.

Policy, approval, commercial, regulatory, and safety boundaries appear before a consequential action.

AG2: candidate → evidence → release → signalsBuild: discover → design → deliver → improve

Choose your next step

Start with one real workflow.

Evaluate one release in AG2, or bring Build one bounded operational workflow with named owners and a measurable baseline.

AG2 · Self-serve or enterprise

Turn one agent change into a release decision.

Connect the workflow you already operate, define its release scenarios, compare a candidate with its baseline, and export the evidence behind the verdict.

Free$0
Developer$29per month
EnterpriseCustom
Evaluate one releaseSee AG2 plans

Provider, model, sandbox, and runtime usage may be billed separately from the account plan.

Lotuspond Build · Start with the workflow

Diagnose the bottleneck. Deliver the operating system around it.

Workflow diagnostic

Make the current system and measurable gap explicit.

Map the people, tools, evidence, handoffs, exceptions, controls, and baseline before choosing what software or agents should change.

Discuss a diagnostic
Focused solution

See Build applied to hospital contract recovery.

Review the first implementation connecting equipment contracts, service evidence, human approvals, vendor outcomes, and finance realization.

Explore the solution

Trust and readiness

Proof has a status.

Ready, in progress, conditional, or unavailable: the label should be as inspectable as the control behind it.

Controls inside the workflow

Boundaries stay visible at the moment of action.

AG2

Org-scoped access, release policies, scenario evidence, action approvals, readiness history, and evidence exports.

Build

Explicit scope, named ownership, integration boundaries, human approvals, scenario validation, and measurable outcomes.

Readiness evidence informs a human decision. It is not a blanket certification, external authorization, production proof, or outcome guarantee.

Frequently asked questions

What to know before you start.

Product scope, delivery boundaries, integration readiness, and the decisions that remain with people and institutions.

01What problem does AG2 solve?

AG2 helps the owner of a production AI system decide whether a prompt, model, tool, policy, or runtime change should ship. It joins repeatable scenarios, production evidence, release gates, action governance, and an exportable decision record.

02What is Lotuspond Build?

Lotuspond Build is a productized AI-native software delivery practice. It starts with the real operational workflow, designs the operating model, builds the necessary applications and agents, validates realistic exceptions and human approvals, and supports deployment and iteration.

03Is Lotuspond Build limited to healthcare?

No. Hospital equipment contract recovery is the first focused Build solution, not the category boundary. Build is for valuable operational workflows across industries where the work spans people, systems, evidence, exceptions, approvals, and measurable outcomes.

04How does a Build engagement work?

A Build engagement begins with one bounded workflow and a measurable baseline. The team maps the current operation, defines scope and authority, designs the target system, implements the software and agents, tests realistic failure paths, deploys into the approved environment, and measures the result.

05What remains with the customer?

Customers retain business authority, access approval, policy decisions, consequential human approvals, and ownership of external systems. Integrations and production readiness are proven for the agreed environment; they are never inferred from code, a sandbox result, or a marketing claim.

06What is the best way to start?

Start with one bounded workflow and a measurable baseline. For AG2, choose one agent release path, connect outcome receipts and telemetry, define the scenarios it must pass, and run the process in shadow mode before enforcing a gate. For Build, choose one recurring operational bottleneck with a named owner, available evidence, meaningful exceptions, and an outcome the team can measure.

Bring one workflow into focus

Start with the decision you need to see clearly.

Choose one agent release or one operational bottleneck. Make its state, boundary, and measurable outcome visible before the workflow expands.

For teams accountable for agent releases

AG2

Turn the next agent change into a scenario-backed pass or block decision with exportable evidence.

Evaluate one releaseFor teams with a difficult operational workflow

Lotuspond Build

Discover the real workflow, build its software and agents, then deploy and improve it with evidence.

Discuss a workflow

Need a bounded Build engagement or a paid AG2 release-assurance pilot?

Design the first workflow