Outcome over activity
Poiva measures finished outcomes and accepted deliverables instead of hours, meetings, or status updates.
Poiva is the world's first computer protocol designed to coordinate distributed fulfilment from human resources, AI agents, organizations, and machines across software, healthcare, logistics, construction, legal work, and more.
It standardizes how intentions become missions, how capabilities are matched, how evidence is collected, and how outcomes are verified and settled without locking execution into a single platform.
Protocol graph
Example intent
A sponsor expresses the outcome, urgency, constraints, and acceptable result without prescribing every step.
Example mission
The intent becomes a protocol object with sponsor, deliverables, review path, pricing rules, and completion semantics.
Example execution
Humans, organizations, AI agents, and automations contribute activities while the protocol keeps shared state and traceability.
Example evidence
Proof stays attached to the work so completion can travel across systems instead of living inside one vendor workflow.
Example verification
Policies evaluate evidence and return accepted, rejected, or revision-needed with a durable completion record.
Jira, GitHub, Slack, ERP systems, legal platforms, logistics tools, and healthcare workflows all model similar concepts in incompatible ways. Poiva defines the common language once so independent systems can interoperate without lock-in.
Poiva measures finished outcomes and accepted deliverables instead of hours, meetings, or status updates.
Pull requests, inspections, signatures, tracking data, photos, and evaluations make verification portable.
Participants are selected for what they can do, whether they are humans, teams, AI systems, or machines.
The exact tools change. The execution semantics do not. Poiva gives distributed teams and systems one portable path for fulfillment across domains.
A desired outcome enters the protocol.
Scope, objectives, requirements, and sponsor are defined.
Activities, risks, cost, and capability needs are modeled.
The right human resources and systems are selected.
Participants produce deliverables and attach evidence.
Policies evaluate proof and determine completion.
Commercial or contractual completion is recorded.
These examples show how familiar real-world workflows overlay cleanly on the same Poiva stages: the protocol stays stable while each domain keeps its own language and operational detail.
Popular software delivery workflow
Popular clinical care workflow
Popular legal services workflow
Popular systems change workflow
Popular architectural design workflow
Popular inspection workflow
Popular parcel delivery workflow
Popular dispatch and courier workflow
Popular procurement workflow
Popular automotive production workflow
Popular factory operations workflow
Popular gas field workflow
Popular mining operations workflow
Popular navigation workflow
Popular construction delivery workflow
Popular manufacturing workflow
Popular logistics workflow
Popular education workflow
Popular public-service workflow
Poiva is intentionally opinionated about the lifecycle and deliberately neutral about implementation details.
Poiva sits beneath products rather than replacing them. Internal workforce platforms, marketplaces, orchestration engines, and AI tooling can all speak the same protocol while remaining implementation-independent.
CraftStack, enterprise systems, government services, logistics platforms, healthcare products, AI agents
Poiva Cloud, internal orchestration, verification services, capability matching, settlement workflows
Java, TypeScript, Python, Go, CLI, MCP, REST, GraphQL, gRPC, events
Mission, activity, participant, capability, knowledge, deliverable, evidence, verification, settlement
Specialists, reviewers, operators, inspectors, and domain experts.
Estimators, assistants, analyzers, and execution co-pilots.
Internal teams, external providers, firms, agencies, and partners.
Field devices, autonomous tools, and hardware systems contributing to missions.
Event processors, scripts, integrations, workflows, and background services.
The same execution semantics can coordinate distributed fulfilment in software, logistics, healthcare, legal work, education, public services, and beyond.
Coordinate distributed product delivery with verifiable outputs.
View profileCoordinate clinical workflows with evidence-based verification.
View profileCoordinate contract work and compliance review with portable evidence.
View profileCoordinate multi-team infrastructure and systems change with clear stage ownership.
View profileCoordinate architectural design from brief to approved package.
View profileCoordinate inspections, reports, and remediation decisions across field teams.
View profileCoordinate parcel movement from shipper request to proof of delivery.
View profileCoordinate on-demand human fulfillment for rides, errands, and courier work.
View profileCoordinate bid responses, review, and vendor selection through a structured lifecycle.
View profileCoordinate design changes, production readiness, and line execution for vehicle programs.
View profileCoordinate ongoing production, maintenance, and workforce planning in a portable workflow model.
View profileCoordinate field operations, maintenance, and safety workflows around critical infrastructure.
View profileCoordinate extraction, safety, maintenance, and reporting across remote operations.
View profileCoordinate route execution, crew operations, and compliance for moving assets.
View profileCoordinate building work, specialist trades, and approvals across field teams.
View profileCoordinate assembly, quality assurance, and maintenance as structured missions.
View profileCoordinate deliveries and handoffs through verifiable execution states.
View profileCoordinate course design, assessment, and research collaboration.
View profileCoordinate public-service execution with auditability and interoperability.
View profileThe protocol can be consumed through SDKs, CLI workflows, MCP, APIs, and event streams. Each interface keeps the lifecycle and evidence model intact.
poiva mission create
poiva capability search
poiva evidence attach
poiva verify
const mission = await poiva.missions.create(...)
verification = client.verifications.evaluate(...)
assistant.submitDeliverable(...)
Poiva is designed to stay open, vendor-neutral, and extensible across many implementations.
The work starts with the specification, then expands into SDKs, CLI, MCP, cloud references, and federation.
Protocol evolution belongs in public discussion so compatibility and neutrality stay intact over time.
If work should be portable, verifiable, and open, Poiva is the protocol surface designed to make that future real.