Their category language
Responsum uses EU-based, full privacy compliance, user-friendly and all-in-one tool language.
Competitor comparison
Responsum positions itself as EU-based software for full privacy compliance. Acompli is narrower around connected GDPR and AI governance workflows with reviewable evidence.
Disclosure
This comparison is published by Acompli and was last reviewed on 28 June 2026. It is intended to help privacy teams compare operating models, not to claim that one platform is right for every buyer.
| Decision question | Acompli | Responsum |
|---|---|---|
| Best fit | DPO-led privacy teams that need evidence-linked workflows across assessments, RoPA, risk, vendors, DSAR and AI governance. | Teams seeking an EU-based all-in-one privacy compliance tool. |
| Operating model | Connected privacy governance records across RoPA, DPIA, DSAR, risk, vendors, data mapping and optional AI Act workflows. | Responsum uses EU-based, full privacy compliance, user-friendly and all-in-one tool language. |
| When to choose it | Choose Acompli when the buyer wants stronger emphasis on connected evidence, imports and review-controlled downstream outputs. | Choose Responsum when its all-in-one privacy compliance positioning fits the programme. |
Competitor profile
Official page title reviewed: Software for Full Privacy Compliance | Responsum
Official description reviewed: Responsum describes EU-based software for full privacy compliance and an all-in-one tool to boost and simplify compliance.
Responsum uses EU-based, full privacy compliance, user-friendly and all-in-one tool language.
Teams seeking an EU-based all-in-one privacy compliance tool.
UK and Ireland assessment and risk terms.
Buyer signals
| Signal | Details |
|---|---|
| Market lane | EU privacy management, risk, security, AI governance and third-party risk. |
| Best-fit buyer | EU privacy teams wanting privacy, risk, security, AI governance, TPRM, dashboards, automation and action plans. |
| Review / pricing signal | Capterra source set: 4.0/5 from 2 reviews, EUR 450/user/month starting price and free trial available. |
| Deployment / operating model | EU privacy compliance platform; deployment options were not fully verified in this pack. |
Boolean chart
Y means public sources reviewed for this pack show a meaningful product, module, feature or service. N means the feature was not clearly evidenced in this source set, not proof that the vendor cannot provide it.
| Field | Acompli | Responsum |
|---|---|---|
| DPIA/PIA assessments | Y | Y |
| RoPA / Article 30 | Y | Y |
| DSAR / privacy rights | Y | Y |
| Data mapping | Y | Y |
| Vendor risk | Y | Y |
| Privacy risk | Y | Y |
| AI governance | Y | Y |
| Consent management | N | Y |
| Cookie/tracker scanning | N | N |
| Breach/incident management | N | Y |
| Retention management | Y | Y |
| Policy/notice management | N | Y |
| Training module | N | Y |
| Approval workflows | Y | Y |
| Audit trail | Y | Y |
| Role-based access control | Y | Y |
| Multi-entity support | Y | Y |
| Spreadsheet import | Y | Y |
| PDF/CSV/Excel export | Y | Y |
| Public pricing | N | Y |
Decision factors
Acompli is designed for focused privacy operations where the team wants structured records quickly. Larger suites may suit teams with broader administration capacity.
The Acompli model treats assessments, RoPA fields, vendor records, DSAR outcomes and risks as connected records rather than separate documents.
Acompli keeps AI output as draft support until a human reviewer approves it, with source evidence, decisions and audit history preserved.
Acompli is intentionally privacy-led. Security, GRC, consent or enterprise-suite breadth may point to another platform depending on the buyer's operating model.
Feature-fit matrix
| Capability | Acompli emphasis | Responsum comparison note | Buyer question |
|---|---|---|---|
| Migration and onboarding | Existing DPIAs, RoPA spreadsheets, supplier lists, IT inventories and OneTrust or TrustArc exports can be imported, mapped and enriched instead of re-keyed. | Check import formats, export compatibility, connector coverage, confidence scoring and how quickly records become searchable and reviewable. | Will onboarding reuse current evidence or create a separate migration project? |
| RoPA continuity | Article 30 records are assessment-fed, confidence-scored, review-governed, entity-scoped and maintained when systems, suppliers or transfers change. | Check whether the selected package keeps the RoPA current from live workflow evidence or relies on separate module upkeep. | Will the register stay current when the business changes? |
| DPIA and assessments | DPIAs, LIAs, TIAs, processor reviews, AI Act assessments and custom workflows use contextual completion, AI drafting, confidence scoring and approval history. | Check assessment templates, reviewer controls, evidence capture and how outputs connect to downstream records. | Does the assessment become reusable governance evidence? |
| DSAR evidence | Standalone DSAR workflow from branded intake to identity checks, parallel discovery, human-reviewed redaction, QA gates, response drafting, delivery and archive. | Check whether DSAR handling is a dedicated lifecycle or one feature inside a broader programme workflow. | Can the team export a defensible request history? |
| Privacy risk | Risks are extracted from whole assessments after readiness checks, deduplicated, consistency-checked, assigned to owners and tracked through treatment plans and dashboards. | Check whether privacy risk is tied to assessments and vendors or managed as a separate risk register. | Can risk decisions be traced back to evidence? |
| Vendor and processor records | Systems, suppliers, processors, locations, Article 28 evidence and transfer context are recorded once, searchable in natural language and reused across the programme. | Check processor due-diligence depth, sub-processor handling, transfer evidence and RoPA linkage. | Does vendor review improve the privacy record? |
| Data mapping and transfers | The map is populated from real work, verified with readiness checks, and links cross-border flows to SCCs, adequacy decisions, TIAs, safeguards, stewards and exports. | Check whether maps are evidence-backed records or static diagrams that need manual reconciliation. | Can every route show evidence and every transfer show a mechanism? |
| Code-derived evidence | Read-only repository scans use approved plans, structural analysis, file and line provenance, human review, and approved sync into data maps, RoPA drafts and DPIA triggers. | Check whether technical discovery can feed privacy records with review gates rather than producing disconnected scan output. | Can code evidence update governance records without bypassing people? |
| AI governance | Optional AI Act workflow can track AI systems, assessment evidence and GDPR links in the same governance model. | Check whether AI governance is built for privacy evidence, security controls, policy management or a broader trust programme. | Can GDPR and AI governance evidence be reconciled? |
| Human approval and provenance | AI drafts, extracts and classifies; a named human approves the record before it becomes official. | Check whether automated outputs keep source material, reviewer decisions and change history in the DOM and exports. | Can reviewers defend the final answer? |
Acompli angles
Acompli's brochures frame the platform as a set of connected operating workflows, not a loose feature list. These are the buyer tests to use in any competitor comparison.
| Angle | Acompli proof point | Comparison question |
|---|---|---|
| Rapid onboarding | Imports existing DPIAs, RoPA spreadsheets, IT systems, vendors and locations; supports PDF, DOCX, Excel, CSV, OneTrust and TrustArc export formats; AI maps columns and extracts Q&A pairs. | Can the platform use the evidence the team already has, or does implementation become a manual migration project? |
| Assessment workflow | DPIAs, LIAs, TIAs, processor reviews, AI Act assessments and custom workflows use contextual completion, AI-assisted drafting, confidence scoring, review tasks and approval history. | Does an assessment become a reviewed decision record, or does it remain a form/document? |
| RoPA governance | Article 30 fields are captured through tagged assessment questions, extracted with confidence scores, reviewed before publication, entity-scoped and maintained through change propagation. | Does the RoPA stay current from approved work, or does the team reconcile it later? |
| Third-party register | Systems, suppliers and locations are recorded once, reused across assessments, risk and RoPA, searchable in natural language and preserved in an entity timeline. | Are vendors just rows in a table, or reusable records linked to evidence and history? |
| Data mapping | Maps are populated from systems, suppliers, locations and assessment work, with graph and geographic views, readiness checks, transfer mechanisms, TIAs, stewards and exports. | Can every route show evidence, a transfer mechanism and a named steward? |
| Risk management | Risk extraction starts with readiness checks, analyses the whole assessment, catches duplicates and severity inconsistencies, then tracks treatment plans, ROI and live dashboards. | Are risks traceable to source evidence and treatment work, or just manually entered scores? |
| DSAR lifecycle | Structured portal intake, identity verification, parallel discovery, AI PII detection with human redaction review, QA gates, response drafting, delivery and archive with 20+ audit action types. | Can the team prove how the request was handled from intake to delivery? |
| Code-to-compliance evidence | Read-only GitHub/GitLab scans use approved plans, structural source analysis, file/line provenance, human review, and sync approved findings into data maps, RoPA drafts and DPIA triggers. | Can technical evidence from code feed privacy records without bypassing review? |
Switching test
The right answer depends on operating model. Responsum may be the better fit when its broader platform direction, existing implementation, integrations or specialist strengths match the buyer's priorities.
Acompli is strongest when the privacy team needs connected evidence across core GDPR and AI governance records, with a short route from draft to reviewed decision.
Sources
Competitor positioning changes. This page avoids private roadmap claims and uses public product information plus Acompli's own product pages and brochures.
Official Responsum positioning reviewed for this comparison.
ExploreAcompli product positioning, workflows and module coverage used for this comparison.
ExploreAssessment, RoPA, DSAR, risk, data mapping, third-party, onboarding and code scan brochures used to ground Acompli claims.
ExploreIf a competitor detail is stale or materially incomplete, send the correction and the page should be updated.
ExploreConnected workflows
Run DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with templates, AI support and human approval.
Open moduleExtract candidate risks from approved evidence, assign treatment plans and report on current exposure.
Open moduleMaintain Article 30 records that stay linked to approved assessments, systems, suppliers and transfers.
Open moduleManage requests from intake to archive with deadlines, identity checks, redaction and audit history.
Open moduleBring one live process and compare the evidence trail, review gates, exports and maintenance effort.