Facthory treats complex work as a project with state, checkpoints and outcomes.
Agents ask the questions required to remove ambiguity before expensive work begins.
Objectives
Constraints
Success criteria
Required evidence
Facthory lets people focus on judgment, creativity and consequential decisions. Once objectives and boundaries are clear, durable agents perform the repetitive research, data gathering, comparison, calculation, testing and coordination required to move difficult work forward.
Preserve plans, progress, evidence and intermediate outputs across long-running work.
Pause safely for approvals, failures or external dependencies and continue without starting over.
Retry bounded steps, preserve completed work and recover without losing the entire investigation.
Assign research, analytics, code, standards or system work to focused agents inside one project.
Escalate assumptions, risk and consequential decisions to the people accountable for them.
Restrict every agent to approved tools, data, budgets, actions and organizational policies.
Most AI work today disappears into private chats. One colleague investigates a problem, copies the answer into email or Teams, another colleague pastes that summary into a new assistant, and the reasoning starts again from a degraded version of the original context. Facthory replaces that chain with a shared project. People and agents work against the same objective, evidence, decisions, memory and boundaries. A colleague joining later sees the actual state of the work instead of reconstructing it through prompts. The enterprise preserves the intelligence already created and avoids repeatedly spending model context on work it has already done.
Inspect tasks, assumptions, tools, dependencies and approval points.
Run research, analysis and tool actions while people continue other work.
Escalate material decisions rather than requiring constant supervision.
Deliver the result with evidence, memory and a reusable project record.
A project can include colleagues, domain experts and specialist agents. Everyone sees the same problem definition, evidence, current state and decisions, so work can be divided without fragmenting the intelligence required to complete it.
Keep objectives, evidence, constraints and decisions available to every authorized contributor.
Let people and specialist agents own different pieces without creating separate intelligence islands.
Preserve what was tried, learned, rejected and approved so future work starts further ahead.
Work that takes reasoning, evidence, tools and time belongs here.
Investigations, root-cause analysis, requirements, comparisons and complex design work.
Literature, hypotheses, experiments, evidence synthesis and long-running research.
Process analysis, incident investigation, planning, compliance and cross-system coordination.
Source discovery, modeling, validation, reconciliation and production analytical work.
The future of enterprise AI is not one assistant per employee. That recreates organizational silos in software. The more work disappears into isolated AI sessions, the more knowledge must be summarized, copied, re-explained and recomputed. Facthory makes the project the persistent unit of intelligence. People and agents can come and go while the objective, evidence, progress and decisions remain. The enterprise keeps the work, not just the final answer.
Stop asking AI for answers. Give durable agents real work and let your team solve the hard problem together.
State the problem, outcome, boundaries, evidence and people who matter.
Let the agent ask the questions needed before committing to a plan.
Review the proposed plan, dependencies, tools and human checkpoints.
Let agents execute asynchronously while the team focuses elsewhere.
Step in only when judgment, risk or authority requires a person.
Receive finished work with evidence, history and reusable project memory.
Keep execution state and intermediate artifacts across the project lifecycle.
Preserve decisions and discoveries for every authorized human and agent contributor.
Coordinate dependencies, parallel workstreams and specialist subagents across complex work.
Control which systems, tools and actions each agent can access.
Require human authority before sensitive actions or consequential decisions proceed.
Bound model use, execution time, resources and actions according to policy.
Trace outputs to sources, tool actions, assumptions, reviews and decisions.
Inspect progress, failures, pending decisions and completed work at any time.
Facthory separates execution from authority. Agents can do substantial work without requiring constant supervision, while identity, permissions, budgets, tools, approval rules and policies determine what they may access and change. High-consequence decisions remain visible, attributable and human-controlled.
AI should absorb execution burden, not create another stream of work employees must manually manage.
lack enough time or energy
leaders demand more productivity
leaders expect digital labor
Bring one complex project. Facthory gives your team a shared workspace where agents clarify, plan, execute and persist until the work is complete, while people stay in control of the decisions that matter.
