From reported failure to reviewed change.
Keep the failing behavior, proposed fix, checks, unresolved risks, and acceptance together.
Report → scope → inspect → decideBuilding for fintech, banking, and insurance teams
Standardize
AI workflows.
Across your team.
Blueprint is Americana's enterprise offering for standardizing how people and AI systems work together. It captures enterprise workflows, preserves their context in an archive, and makes the work accessible and shareable across the team.
No more starting every chat from scratch.
No more improvising every interaction with AI.
A defined workflow guides you and your AI at every step.
That’s the power of standardizing AI workflows with Blueprint.
An on-premises workspace connected to AI services. Available through ChatGPT and a browser today; additional interfaces are planned.
Defined workflowsPreserved contextIndependent inspectionClear progressContinuity across the team
01 / Enterprise offering
Stop starting from scratch. Continue from a shared map.
Give your team a defined way to work with AI. The canvas maps the request, the work produced, feedback, decisions, and results. A teammate can open the shared workflow with its context intact, see what is already done, and take the next step without rebuilding the conversation.
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The brief, research, and draft stay connected. A teammate can follow the relationships and understand how the result came together.
Earlier workspace capture. The investor cells include unresolved demonstration data; the image shows the workspace and reflection, not finished investor research.
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An update stays attached to the work it concerns, carrying the earlier context into the next round instead of starting the task over.
Actual update form with a prepared example instruction. This form was not submitted for the screenshot.
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The working result and its supporting sources stay together, so another person can review the basis for a decision and build on it.
Actual public example-domain research with populated cells and saved IANA references. A later assignment remains ready for review.
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See what is complete, what is awaiting review, and where help is needed. The team can pick up the next step with the work's history in view.
Saved task snapshot with one assignment awaiting review and another completed.
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Keep a record of the agents involved and relate their activity to the work, so the team can understand who contributed what.
Actual recorded agent roster from Blueprint development. These agents are unlinked in this capture; saved completion labels do not establish live worker status.
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Share a read-only final result for reference, or hand over the workspace and its context so a teammate can continue.
Actual sharing controls with continuation selected. No sharing link was created for this capture.Selected views from different saved sessions. Each capture shows a specific feature, rather than one uninterrupted task run.
Blueprint today
Connected working assets, updates that preserve context, independent inspection, task history, reflection, and result or workspace sharing. Agent history is recorded; live status is labeled unverified.
What comes next
VS Code, Terminal, and other interfaces to the same work context; automatic new-chat setup and conversation capture; reusable team templates and organization-wide search and access controls.
02 / Work types
Different work. Agreed paths.
Start with a recurring task your team already understands. Agree the goal, keep the work and review together, and make handoff repeatable. These paths show the direction for reusable enterprise templates.
From request to accepted result.
Carry requirements, AI-produced work, review feedback, and the final decision in one record.
Brief → build → review → handoffFrom variance to signed-off explanation.
Trace source inputs, the proposed explanation, exceptions, and who accepted the resolution.
Sources → variance → review → sign-off03 / One work item
A shared path from request to handoff.
Define the purpose of each interaction, the context it needs, and the result it should produce. Keep the steps, checks, and decisions with the workflow, so your team can follow a consistent path and build on the work already done.
- 01
Agree the goal
Give the task a clear brief and keep its inputs where everyone can understand the starting point.
- 02
Keep the work connected
Carry feedback, agent work, and evolving results forward with the context they depend on.
- 03
Check the result
Keep an independent check of what was delivered, what supports it, and what remains unresolved.
- 04
Continue as a team
Pass on the result and the reasoning behind it, with a clear starting point for whoever takes the next step.
04 / Shared knowledge
One team's work becomes the next team's starting point.
When a workflow is reviewed, the team should be able to check an approved path and selected result into a shared knowledge base. A colleague outside that specialty could query the record, find the relevant owner, evidence, and decision, then continue without reconstructing the work in another chat.
This is the enterprise direction. Blueprint can create selected-result and permissioned continuation links; it does not yet provide an organization-wide index, cross-team query, or access controls for a knowledge base.
Knowledge base / conceptCross-team lookup
Another team asksHow did payments resolve this reconciliation variance?
Relevant workflowReconciliation · reviewed path
Inputs, exceptions, checks, decision, and a person to contact.
Reusable resultApproved explanation
Selected output and source context, shared within its allowed audience.
Illustrative future interaction · no customer data
05 / Understanding AI work
The next teammate should not have to start over.
When the work lives across separate AI chats, a handoff can become another round of explanations. Blueprint keeps the request, result, evidence, and unresolved questions together, so the next person can understand where the work stands.
Long AI response
“I looked at the reported payment mismatch, examined the source totals, proposed a calculation change, and checked the affected cases. Here is the full explanation…”
Useful details can get buried in the conversation.On the canvas / target view
01RequestWhat needs to change?
02ProposalWhat did AI produce?
03EvidenceWhat was checked?
04OutcomeWhat changed or remains unresolved?
Illustrative target interaction. The current workspace uses saved text and table assets; it does not automatically parse a full host conversation. Richer output formats are product direction.
For the person doing the work
Open the relevant asset, proposal, or decision without searching through a long AI response.
For the next teammate
Continue from saved scope, evidence, and review history. See what was requested, what changed, and what remains unresolved.
For another team
Find a relevant reviewed workflow and the people behind it when the task crosses into unfamiliar territory. Cross-team search is planned.
06 / Product direction
More ways in. The same work context.
ChatGPT and the browser are today's interfaces to Blueprint. The workspace holds the goals, assets, task relationships, and results that make it possible to continue the work.
We plan to bring that same context into VS Code, Terminal, and other tools, so changing interfaces does not mean rebuilding the task. These additional interfaces, remote team access, and mobile access remain product direction.
Start with one recurring task
Which AI workflow should your team standardize first?
We are speaking with developers, operations teams, and their leaders in fintech, banking, and insurance about the work they want to make consistent.