Quotes and proposals
Priced line items, terms and the relevant case studies assembled from the opportunity, so the version a customer receives matches what is in the pipeline report.
Nintex Document Automation
If the contract is assembled by hand, the clause that costs you money is a copy-paste error.
Quotes, contracts, statements of work, invoices and onboarding packs are usually built from a previous one, edited under time pressure, and reviewed by whoever is free. Twopir Consulting replaces that with generation from the record — the approved template, the right clauses for that deal, produced in seconds and routed for signature without leaving the system. Templates, tagging, conditional content, delivery and signature, governed.
Document Lifecycle Twopir · 2πr
Layer 01
One Source Record, Four Formats
Word Excel PowerPoint PDF
Layer 02 · 2πr
Generation & Delivery
Tags & Rules Assemble Deliver Sign
Layer 03
The Result
Consistent Compliant Fast
Template Rule One master per document. Everything else is a condition
What is Nintex document automation?
Nintex document automation generates business documents by merging data held in a system of record into approved templates, then delivering the result — attached to the record, emailed, filed, or routed for electronic signature. Nintex DocGen produces Word, Excel, PowerPoint and PDF output from those templates. The consulting work is the template architecture underneath: which documents exist, what varies between them, and how that variation is expressed as a rule rather than as another copy of the file.
Document generation is rarely a standalone project. It is usually a step inside a longer process, which is why it is designed together with the workflow that triggers it and with the integration that supplies its data. Where several document-producing processes are in scope at once, process automation decides the order.
| Assembled by hand | Generated from the record | |
|---|---|---|
| Where the data comes from | Retyped, or copied from the last similar document — which was itself copied from one before that. | Read directly from the record that owns it, at the moment of generation. |
| Consistency | As consistent as the person and the version of the file they happened to start from. | Identical every time, because there is one approved master and the differences are rules. |
| Clause selection | Depends on someone remembering which clause applies to this customer, jurisdiction or product. | Conditional content decides from the record data, so the wrong clause cannot be left in by accident. |
| Cost of a change | Every copy in circulation has to be found and updated. Some never are. | Change the master once. Every document generated after that carries it. |
| Audit position | "We believe the approved wording was used." Proving it means opening the documents. | The template version, the data used and the approval are recorded against the record. |
| Where it breaks | Under time pressure, at volume, and when the person who knew the rules is on leave. | When templates are allowed to multiply without governance — which is what section 5 is about. |
The documents that are worth automating first
The test is simple: high volume, data that already exists in a system, and a version that is currently produced by editing the last one.
Contracts and statements of work
Clause selection driven by product, jurisdiction, value band and negotiated position — with the non-standard variations flagged for legal rather than buried in a redline.
Invoices and statements
Generated in batch from billing data on a schedule, delivered to the right contact, and recorded against the account so collections can see exactly what was sent and when.
Onboarding packs
Several documents assembled into one correctly ordered pack — agreement, schedules, policies, forms — so a new customer or employee receives one thing rather than six attachments.
Regulatory and compliance documents
Disclosures, certificates and notices where the wording is prescribed and the evidence of which version was issued to whom matters more than the document itself.
Renewals and change orders
Generated from the existing agreement plus the change, so the renewal reflects what was actually contracted rather than what someone remembers was agreed last year.
Client and board reporting
Periodic reports where the numbers come from the system and only the commentary is written — instead of a full rebuild of the deck every month.
Multi-language variants
The same document in the customer's language, driven by a field on the record rather than by a separate folder of translated files that drift out of sync with the master.
From a tagged template to a signed document
The mechanics are genuinely straightforward, which is why teams underestimate the design work around them. Here is what each part does and where the judgement sits.
The DocGen package
The configuration object that ties everything together: which templates are included, what data is retrieved, which conditions apply, where the output goes and how it is delivered. Designing it well is what makes one package serve twelve scenarios instead of twelve packages serving one each.
- Scenario coverage decided deliberately
- Data retrieval scoped to what the template uses
- Delivery and storage configured per output
Field tags in the template
A tag is a placeholder in the Word, Excel or PowerPoint file that is replaced with the real value at generation. Nintex provides a tagger that exposes the available tags so they can be copied straight into the document — the discipline is keeping the tag set stable so templates do not break when the data model moves.
- Tags placed against a documented field map
- Related-record and child-row data handled explicitly
- Tag changes treated as a versioned change
Conditional content
Clauses, sections and whole pages that appear only when the record says they should — by product, region, value band, customer type or negotiated position. This is where most of the value is, and where most implementations stop short and start producing template copies instead.
- Conditions defined against real record fields
- Mutually exclusive clause sets validated
- Every branch tested, including the rare ones
Assembly and output format
Several documents combined into one pack in a defined order, and the format chosen for the job — an editable Word file for negotiation, a locked PDF for issue, Excel where the recipient needs the numbers rather than a picture of them.
- Multi-document packs in a fixed sequence
- Format chosen per output, not per habit
- Watermarking and protection where required
Delivery and filing
Attached to the source record, emailed to a contact resolved from the data, filed into the document store with metadata set by the process, or handed to the next workflow step. The filing decision is a retention decision, so it is made with whoever owns retention.
- Storage location driven by record and type
- Metadata set by the process, not by hand
- Retention and access agreed before go-live
Signature routing
Nintex DocGen routes generated documents to electronic signature through supported providers, so the same process that produced the document also sends it and reacts to completion. The signature event advances the workflow — nobody has to watch a mailbox for it.
- Signer order and roles resolved from the record
- Completion event drives the next step
- Executed document returned to the source record
How a document estate goes wrong quietly
Generation rarely fails. Governance does. A year after go-live the estate has forty templates where it should have six, and nobody can say which one legal actually approved.
One master per document, variations as conditions
The moment a variation is handled by copying the template, you have two masters and one of them will not get the next legal update. Every "we just need a slightly different version" request is a conditional-content question first.
A named approver per template
Usually legal for contracts, finance for anything with numbers, marketing for anything customer-facing. Changes go through them, and the approval is recorded against the version — so "who signed off this wording" has an answer.
Version control that includes the tags
A template change and a data model change can break each other. Tag changes are versioned alongside the template, and a template is tested against the current field map before it is published, not after a customer receives a document full of empty placeholders.
A test set that covers the conditions
Every conditional branch needs a test record that exercises it. The clause that only applies to one jurisdiction is exactly the one nobody checks, and exactly the one that matters when it is wrong.
A retirement route
Templates that are no longer used get retired rather than left available. An obsolete template that is still selectable will eventually be selected — usually by someone new, usually on something that matters.
Generating documents where the data already lives
The right place to generate a document is the system that owns its data. That decides the architecture more than any feature comparison does.
| Context | What triggers generation | What the design work is |
|---|---|---|
| Inside Salesforce | A user action on the record, or a stage change on an opportunity, case or custom object. | Mapping the object model to the tag set, handling child records and line items, and deciding what the process is permitted to write back. |
| Inside a Nintex workflow | A step in a longer process — after approval, before signature, on completion. | Where in the process generation belongs, and what happens to the document if a later step fails or the process is cancelled. |
| From Microsoft 365 content | A document or list change in SharePoint, or a request raised through Teams or a form. | Filing location, metadata, permissions and retention on the generated output — decided with whoever owns the retention policy. |
| In batch | A schedule or a bulk action across many records, such as a billing run or an annual notice. | Volume, throughput and restartability: what happens when the run fails at record four thousand of six thousand. |
If your document generation is specifically inside Salesforce, our Nintex for Salesforce document generation page covers that implementation in more depth. This page is the wider document-automation practice across every context above.
Document automation questions we hear most
Usually the opposite — forty templates is itself the finding. In most estates a large proportion are near-duplicates that differ by a clause, a logo or a currency, which means they are conditions rather than templates. We rationalise first: group them by document type, identify what actually varies, and rebuild a much smaller set with the variation expressed as rules. Rebuilding forty templates as forty templates would carry the problem straight into the new system.
Yes, and the more useful question is whether it should be. Generating an editable Word file is right where genuine negotiation happens and the redline is the point. Generating a locked PDF is right where the wording is prescribed and an edit would be a compliance problem. Where editing is allowed we recommend an approval step before issue, so the version that leaves is a version someone signed off — otherwise you have reintroduced by hand the risk the automation removed.
Native features are often enough for a simple, single-format document from one object with no conditional content — and if that is your requirement, use them. Dedicated document generation earns its place when you need several output formats, conditional clauses driven by record data, multi-document packs assembled in order, data pulled from related and child records, batch generation, or signature routing tied into the same process. The honest test is whether your document varies. If it does not, you may not need this at all, and we will say so.
Content ownership belongs with whoever is accountable for the wording — legal for contract language, finance for anything with figures, marketing for customer-facing presentation. Technical ownership of the tags, conditions and packages belongs with the automation team. That split matters because the most common post-launch failure is a business user editing a template and unknowingly breaking a tag. We set up the approval route so wording changes are easy and structural changes are deliberate.
Yes — Nintex DocGen supports templates in multiple languages, with the language selected from record data rather than by the person generating the document. The design considerations are the ones translation always brings: text expansion breaking a layout that was tuned for English, date and number formats, and the governance question of who approves a translated clause. We treat each language as a variant of one master under the same approval route, not as a separate template estate.
You need a signature capability, and Nintex DocGen routes generated documents to electronic signature through supported providers — so if you already have one in place, the usual answer is to keep it and integrate rather than replace it. What matters architecturally is that the signature completion event drives the process automatically, and that the executed document and its audit trail return to the source record. Without that, you have automated document creation and left a person watching a mailbox for the signature, which is often where the delay actually was.
Next Step
Send us your contract template, and the six versions of it
A short review of one document set is usually enough to show what collapses into conditions, what genuinely needs its own master, and how much of your template estate is duplication.
One approved master per document, and a rule for everything that varies
