GoPaperless for ChatGPT: Documents, Approvals & E-Signing

Executive summary

A new AI experience layer that doesn’t weaken existing controls

GoPaperless for ChatGPT lets users express their goal in natural language, receive a structured business component, check the data and confirm it before the backend executes anything. ChatGPT helps with understanding and orchestration; GoPaperless remains the source of truth for documents, permissions, workflow, e-signing and evidence.

In short: This is not a chatbot that decides on its own. It’s a conversational work interface built on top of GoPaperless, connected through MCP tools with clear schemas, scoped permissions, approval requirements for sensitive actions, and end-to-end evidence logging.

AI

Document intelligence

Search, summarize, compare versions, extract entities and flag risk, each linked back to its source.

Grounded · Traceable

HITL

Humans stay in control

AI prepares the work; an authorized person confirms scope, participants, policy, publishing and signing.

Human approval

EVD

Verifiable evidence

Every transaction result comes with a timeline, hash, signature status, certificate, timestamp and audit event.

Audit ready

The business problem

AI can answer quickly, but enterprise processes demand authority, accountability and evidence

Many organizations already have a DMS/ECM, an approval portal and an e-signing service, yet employees still have to hunt for documents, read through multiple versions, re-key information, switch to email and track status by hand. A pure text chatbot only solves the question-and-answer part; it isn’t enough to carry out a transaction with legal or operational impact.

01

Fragmented context

Documents, approvers, policy and signing status live across multiple systems. Users must piece the context together themselves before they can act.

02

AI is not the same as authority

A model can suggest, but it has no inherent right to read, publish, approve, sign or export evidence.

03

Actions need structured confirmation

Choosing a signer, version, sequence, signing method and policy doesn’t fit into one ambiguous chat message.

04

Audit must connect the whole chain

The enterprise needs to know who requested what, what the AI proposed, what the user confirmed, what the backend executed, and where the evidence lives.

Product experience

GoPaperless shows up as a business application right inside the conversation

Users open GoPaperless from the Apps area, connect their account, and pick a workspace and role. When a request comes in, ChatGPT calls the matching MCP tool; GoPaperless returns data and a component for the user to review, choose from and confirm. Tasks with an external impact only run after a confirmation gate.

GoPaperless home screen in ChatGPT showing connection status, workspace, role, tasks and recent records — **Reference screen 01:** GoPaperless delivers structured components inside ChatGPT instead of requiring users to work through plain text commands.

End-to-end journey

Six steps from a natural-language question to an evidence record

1Ask naturallyThe user states the goal, document or transaction to handle.

2Search & analyzeMCP tools fetch data within scope; AI summarizes and links back to sources.

3Review & approveThe user reviews content, comments, requests edits or approves it.

4Create the signing packetChoose the version, participants, sequence, deadline and signature fields.

5Sign securelySigning runs through the appropriate method; the signing key never sits inside ChatGPT.

6Receive the resultGet back the signed document, timeline, verification status and evidence package.

Design principle: content can be prepared by AI; consequential actions must show full context and require an explicit confirmation before the GoPaperless backend executes anything.

Document intelligence

An AI summary must trace back to the source document, version and specific clause

Document intelligence creates value when users can verify the result themselves. GoPaperless ties each summary to the document version, the source clauses, the extracted entities, and the risk areas that deserve attention. Users can open the full text, compare versions, or start a workflow directly from the document they’re viewing.

Document detail view with PDF preview, AI summary, key facts, highlighted clauses, risks and recent activity — **Reference screen 07:** The AI summary sits next to the source document, its version, signature evidence, and links back to the source clauses.

Screen comparing two document versions and classifying changes by impact level — **Reference screen 08:** Version comparison helps CTOs and Legal see how AI moves from a general summary to a verifiable, decision-ready change list.

Workflow & human approval

From an AI-assisted draft to a policy-checked release

Users can pick a document and a workflow template, add participants, define roles, sequence, deadlines, reminders and signature fields. Before publishing, GoPaperless runs a policy check and shows Pass, Warning or Block so an authorized person can decide.

DRAFT

Create the draft

AI helps fill in data and suggests a configuration, with no external impact yet.

POL

Policy check

Checks participants, authority, version, signature fields, deadlines and mandatory requirements.

OK

Confirm and publish

Shows a transaction summary, impact, recipients and signing method before sending.

Workflow policy check screen with criteria that pass, warn or block before publishing — **Reference screen 14:** Policy is enforced by the backend and presented as an understandable decision, not hidden inside an AI answer.

CTO track · Reference architecture

A six-layer architecture with clear boundaries of responsibility

OpenAI describes a remote MCP server as a way to expose tools and data to ChatGPT or to API integrations. For GoPaperless, MCP is a tool-contract layer — not a place to store signing keys, self-grant permissions, or replace business policy. Sensitive actions require explicit approval, and shared data must be minimized, logged and controlled.

1. ChatGPT Experience

Conversation, app selection, component rendering and capturing user confirmation.

Holds no signing keys

2. App Components

Forms, tables, previews and structured confirmation screens that reduce input errors and ambiguity.

Presentation boundary

3. GoPaperless MCP Server

Tool declarations, input/output schema, authentication context, correlation ID and allow-list.

Tool contract

4. Policy & Approval Gateway

Checks scope, tenant, RBAC/ABAC, consent, step-up and the confirmation gate.

Trust decision point

5. GoPaperless Services

Document, workflow, signing orchestration, callback, evidence and audit services.

Business source of truth

6. Trust Infrastructure

IAM, HSM, TSA, CA/DSS, encrypted storage, observability and SIEM integration.

Cryptographic boundary

Reference MCP tool catalog for a POC

get_connection_contextWorkspace, role, scopes

search_documentsSearch within permissions

fetch_documentContent and source citations

compare_versionsStructured diff

get_workflowStatus and timeline

create_workflow_draftCreate an internal draft

preview_policy_checkAssess impact beforehand

publish_workflowRequires confirmation

submit_approvalRequires confirmation

initiate_signingRequires step-up

get_evidence_manifestHash, signature, audit

retry_callback_safelyIdempotent operation

Safe-by-design: read tools, draft tools and externally impactful tools are kept separate. For sensitive tasks, the server re-checks permissions and state at execution time; it never relies solely on the context sent up by the model.

Permission & consent model

Permissions are granted by workspace, role, duration and level of impact

GoPaperless doesn’t treat “account connected” as unlimited permission. A connection receipt must show the account, workspace, role, granted scopes, duration, terms version and the ability to revoke. Actions with an external impact still require confirmation at the moment they’re carried out.

Reference permission model — scope names may be adjusted to match the official API.
Permission group	Examples	Impact	Control
Read-only	document.read, workflow.read, evidence.read	Reads data already permitted within the workspace.	Scope + role + tenant filter; can be granted by default per role.
Create draft	workflow.draft, field.manage	Creates or edits internal data, not yet sent externally.	Logged for audit; doesn’t need per-action confirmation if policy allows it.
External impact	workflow.publish, participant.manage, approval.submit, signing.initiate	Sends information, changes status, or initiates signing.	Re-authorization + policy check + explicit confirmation; step-up when required.
Export evidence	evidence.download, audit.export	Takes records or audit data outside the system.	Checks purpose, watermark/label, and logs who downloaded it and when.

GoPaperless permission scope screen grouping read-only, draft creation, external impact, evidence export and the connection receipt — **Reference screen 04:** Users clearly see which permissions are mandatory, which are optional, which actions need confirmation, and when consent expires.

Trust & security matrix

The trust layer must hold up against specific technical questions

A question matrix for CTOs, CISOs, Legal and the implementation team.
Area	Question to answer	GoPaperless approach
Identity	Who is performing the action?	Linked account, workspace, role, authenticated session and step-up context.
Authorization	Is it allowed in the current state?	Scope, RBAC/ABAC, tenant isolation and a backend policy check.
Consent	What scope did the user agree to?	A connection receipt with a duration, terms version and revocation capability.
Human control	Can AI act on its own?	A confirmation gate for publish, approval, participant changes, signing and export.
Signing key	Where does the signing key live?	Never inside ChatGPT or a UI component; uses an HSM, token/smartcard or remote signing depending on the project.
Data boundary	What data reaches the model?	Minimized per tool and scope; no credentials/secrets returned; with logging and redaction.
Audit	Is there an end-to-end trace?	Actor, timestamp, tool call, correlation ID, decision, state transition and callback event.
Evidence	Can it be independently verified?	Manifest, hash, signature, certificate, timestamp, OCSP/CRL and a QR/verification endpoint.
Retry	Can a callback error create a duplicate transaction?	Idempotency key, safe retry, reconciliation and a matched status.
Tenant isolation	Can workspace data mix across tenants?	Tenant context binds the token, query, object authorization and audit.

Evidence record with verification status, hash, signature, certificate, timeline and audit events — **Reference screen 22:** Evidence isn’t just a signed PDF file; it’s a record whose provenance, integrity, actor and transaction history can all be checked.

Transaction lifecycle

Designed for both the happy path and operational exceptions

DraftPrepare the document, participants and signature fields.

Policy CheckCheck the rules and permissions before publishing.

Human ConfirmationThe user reviews the impact and confirms.

PublishedThe workflow is published to participants.

Signing / HandoffSigned in-flow or handed off to a trusted channel.

CallbackReceives the result and status from the signing service.

VerificationChecks the signature, certificate and timestamp.

Evidence SealedPackages the manifest, hash and audit records.

Audit ReadyReady to look up, export and reconcile.

Cases that must be modeled

The connection or consent expires mid-process.
The user loses permission after the draft was created.
Policy returns a Warning or Block before publishing.
A signer declines, requests edits, or the deadline passes.
An external handoff doesn’t complete or the callback is delayed.
Safe retry must avoid creating a duplicate transaction or signature.
Incomplete evidence needs a reconciliation status.
The document version changes after approval.

Screen handling a callback error and safe retry, with technical status, idempotency and next steps — **Reference screen 20:** Errors are represented as an actionable business state, instead of leaving users to guess whether the transaction succeeded.

Deployment options

Cloud, on-premise or hybrid, depending on data residency and trust infrastructure

Cloud

Fast deployment

A fit for POCs and enterprises that want to reduce platform operating overhead.

GoPaperless is operated centrally
Fast tenant and workspace configuration
Scales with usage

On-premise

Infrastructure control

A fit for organizations with strict data, internal-network or operational requirements.

Backend and data stay with the customer
Integrates with internal IAM, HSM, SIEM
HA/DR designed to each project’s standard

Hybrid

Keep trust services in a private zone

Combines the ChatGPT experience with a backend and signing infrastructure that stay inside the controlled zone.

MCP gateway matched to the right topology
Documents/signing keys never leave the trust zone
Secure tunnel or private connectivity where applicable

Reference responsibility split — to be re-confirmed in each project’s RACI.
Component	Main responsibility
ChatGPT / OpenAI platform	The conversational experience, tool selection and component rendering, per platform capability.
Mobile-ID / GoPaperless	MCP integration, workflow, policy, signing orchestration, evidence and product operation within the contracted scope.
Customer	Data, users, roles, policy, process, information classification and deployment approval.
CA / TSP / Signing Provider	Certificates, signer authentication, signing/timestamp services and related obligations per the chosen signing method.

Sales & Presales track

A sales message focused on outcomes and the trust layer

The 30-second opener

“GoPaperless for ChatGPT helps employees research documents, prepare approvals, initiate e-signing and get the evidence back, all inside ChatGPT. AI assists with analysis, but decision-making authority, policy and signing keys stay within the enterprise system.”

Discovery questions

How long does it take employees to find the right document and the right version?
How many systems and emails does one transaction have to pass through?
Can your current approval process audit who did what, and when?
Is the enterprise using one e-signing provider or several?
Where are signing keys, certificates and evidence currently managed?
Does the enterprise already have a ChatGPT workspace or an AI assistant plan?

Signs of a good-fit customer

DMS

Has a document repository but low adoption

Users still ask colleagues, browse through folders, or use the wrong version by mistake.

MAIL

Approvals run over email

Status is hard to track, rules aren’t consistent, and the audit trail is incomplete.

SIGN

Multiple e-signing channels

Users have to know which system to use, which method, and reconcile the results themselves.

AI

Already evaluating AI for employees

The customer wants AI to create value but won’t accept losing control over data and transactions.

Handling common objections

“Can AI sign or approve on its own?”

No. AI only analyzes and prepares. Approval, publishing or signing actions require confirmation from an authorized person; the backend checks permissions and policy before execution.

“Does all our data get sent to ChatGPT?”

No. The design follows data minimization: a tool only returns the data required within its scope. Credentials, private keys and secrets never enter the context; the data scope is agreed during project design.

“Does this replace our current Portal?”

Not necessarily. ChatGPT is a new experience channel. The Portal continues to serve administration, in-depth configuration and batch processing; both channels share the same backend and audit trail.

“Does it integrate with our existing signing service?”

It can integrate through signing orchestration and an appropriate connector, depending on the provider’s API, signing method, certificates, authentication requirements and policy.

“Can it be deployed on-premise?”

The GoPaperless backend, data and trust services can be designed as cloud, on-premise or hybrid. The specific topology needs an assessment of ChatGPT connectivity, firewall, IAM and data sovereignty.

Buyer personas

Every buyer needs a different reason to say yes to a POC

Suggested messaging by buyer and influencer role.
Audience	What they care about	The right message
CTO / CIO	Architecture, integration, scalability and lock-in.	MCP tool contracts, API reuse, a backend source of truth, and flexible deployment.
CISO	Permissions, tokens, data boundary, prompt injection and audit.	Least privilege, re-authorization, an approval gate, logging and end-to-end evidence.
Legal / Compliance	Authority, versioning, intent, verification and records.	Human approval, policy checks, signing trust and the evidence manifest.
COO	Processing time, bottlenecks and employee experience.	A single unified flow, fewer app switches, and a clear next step.
HR / Procurement	Template processes, reminders, SLAs and multi-party signing.	Workflow templates, roles, deadlines, reminders, approval and signing.
Sales Director	Speed of preparing, approving and signing contracts.	Find the right version, compare terms, request approval and track signing right inside the conversation.

POC offer

Package the POC around one real process and measurable KPIs

Reference 4–6 week POC

Pick one workflow with enough value to prove the point, but with a controllable scope. Don’t try to integrate the whole enterprise on the first attempt.

4–6reference weeks

1Choose one workflow and one pilot user group.

2Connect one document source or business API.

3Configure one workspace and at least two roles.

4Build 5–8 MCP tools focused on the use case.

5Implement permissions, policy and the confirmation flow.

6Integrate one signing method or handoff.

7Finish the callback, verification and evidence package.

8Measure KPIs, gather user feedback, and propose a production roadmap.

KPIs worth measuring in the POC

Don’t publish a fixed savings percentage before you have data; use a baseline and measure empirically.
Group	Suggested metric	How to assess it
Efficiency	Time to find a document, prepare a workflow and complete signing.	Compare the pre-POC baseline against the pilot group.
Accuracy	Rate of picking the right document, version, approver and signing method.	Cross-check audit events against policy-blocked errors.
Experience	Number of app switches, completion rate, support requests.	Telemetry, user interviews and task completion.
Trust	Share of transactions with full confirmation, trace and evidence.	Check coverage across all POC transactions.
Scalability	Time to add a second tool, policy or workflow.	Assess connector and component reuse.

Product UI reference

System Functional Screen List

Pick a group to see the connection, document, workflow, approval, signing and operations journey. Click any image to zoom in.

Frequently asked questions

Quick answers for CTOs, CISOs, Legal and sales teams

Does GoPaperless for ChatGPT replace the GoPaperless Portal?

No. ChatGPT is a conversational experience layer that helps users complete work more naturally. The Portal remains the right place for administration, in-depth configuration, batch processing and full-scale operations. Both channels can share the same backend, permissions and evidence.

Can AI sign or approve on its own?

No. AI can analyze, prepare a draft, or suggest an action. Approval and signing must be tied to an authorized person, with clear confirmation and an appropriate authentication method.

Does all enterprise data have to be sent to ChatGPT?

No. The architecture prioritizes data minimization and only exposes what’s needed per tool, scope and policy. Signing keys, private keys and sensitive credentials stay within GoPaperless/HSM or other trusted infrastructure.

What does MCP bring to the table?

MCP clearly describes the tools, input/output schema and the boundaries of responsibility. The model plans and requests a tool; the server authenticates, checks permissions, executes the business logic and returns a structured result.

Can the customer’s existing e-signing service be used?

Yes, depending on the provider’s API and trust model. The POC needs to define the signing method, certificates, signer authentication, external handoff, callback, verification and evidence.

Which use case should be chosen for the first POC?

Pick a process with clear documents, a limited number of participants, high enough frequency, and measurable KPIs — for example, reviewing, approving and signing one type of contract or internal memo.