FIND the TINY SEED PLAYBOOK Rob Walling
The “TinySeed Playbook” is not a public standalone book or PDF; it is TinySeed’s internal curriculum of talks and frameworks delivered to founders during the first three months of the accelerator, led by Rob Walling and the TinySeed team.12
What the TinySeed Playbook Is
- TinySeed describes the first quarter of its accelerator as “The TinySeed Playbook,” a structured series of presentations and calls on pricing, hiring, funnels, and lead generation for B2B SaaS founders.21
- It is positioned as a high‑touch, internal education track (presentations, Q&A, mastermind calls), not an externally downloadable playbook.12
How to Access Similar Material
- To get the actual TinySeed Playbook you effectively need to be in a TinySeed batch; the program page and “what it’s like” write‑up are the closest public descriptions of its contents.21
- For public, Rob‑authored “playbook” content, the available resource is his book The SaaS Playbook, plus associated talks and podcast episodes, which cover many of the same SaaS topics he uses inside TinySeed.345
Links You’ll Likely Want
- TinySeed accelerator overview (includes mention of the TinySeed Playbook): https://tinyseed.com/program
- “What’s It Like Being a TinySeed Founder?” (explicitly explains the Playbook presentations): https://tinyseed.com/latest/part-2-tinyseed-founder
- Rob Walling’s public SaaS “playbook” material:
- SaaS Playbook site / sample: https://saasplaybook.com and sample PDF: https://thesaasplaybook.squarespace.com/s/the-saas-playbook-sample.pdf
- TinySeed/Rob overview page: https://robwalling.com/accelerator
If the goal is to reconstruct or approximate the TinySeed Playbook for your own agentic/SaaS context, say so and a follow‑up can outline a topic map and reading list that tracks the internal Playbook structure.
approximate the TinySeed Playbook for my CODITECT agentic/SaaS context
Based on the TinySeed program structure and Rob Walling's The SaaS Playbook curriculum, here is an approximated CODITECT-focused TinySeed Playbook organized for your agentic platform-as-a-service targeting regulated industries (healthcare, finance).
Module 1: Market & Positioning (Weeks 1–2)
The TinySeed Playbook opens with understanding market fit and competitive positioning. For CODITECT, this translates to:16
- ICP Definition: Define 1–3 buyer tiers for regulated-industry buyers (e.g., VP Engineering at mid-market healthtech, CTO at fintech scaleups) including technographic filters (GCP users, Kubernetes adopters), firmographic qualifiers, and disqualifiers.17
- Competitive Moat Analysis: Identify defensibility via integrations, compliance certifications (SOC2, HIPAA), and high switching costs; features alone are insufficient.18
- Pain-Point Validation: Conduct 10–15 customer discovery calls focused on compliance pain (audit prep, policy drift, access review) to validate demand before scaling.1918
Prompt for deeper exploration:
"What are the top 5 compliance pain points for mid-market fintech and healthtech CTOs when adopting agentic AI platforms, and which are underserved by existing solutions?"
Module 2: Pricing & Packaging (Weeks 3–4)
Rob Walling emphasizes pricing as a compounding lever—getting it right early accelerates year-over-year growth.2016
| Decision | CODITECT Recommendation |
|---|---|
| Model | Usage-based + seat hybrid (agents executed + active users) |
| Tier structure | Starter (dev/sandbox), Growth (prod + audit logs), Enterprise (custom SLA, dedicated infra) |
| Price anchoring | Lead with Enterprise tier to anchor value; Starter free or near-zero to reduce compliance friction |
| Price raises | Schedule 12-month review; raise prices for new customers first, grandfather existing 20 |
Prompt for deeper exploration:
"What pricing models do compliant SaaS platforms (Vanta, Drata, Teleport) use for regulated-industry customers, and how do usage-based vs. seat-based models affect CAC payback period?"
Module 3: Funnels & Lead Generation (Weeks 5–7)
The Playbook covers B2B SaaS marketing approaches and funnel optimization. For regulated industries, product-led growth (PLG) is constrained by compliance friction, so a signal-led approach is better.21201716
- Signal Taxonomy: Define 5–10 high-value signals (e.g., pricing page visits ≥3, sandbox agent deployment, audit-log export) and score accounts accordingly.17
- Qualification Tiers:
- MQL: ICP fit + meaningful engagement (whitepaper, webinar)
- PQL: ICP fit + in-product activation (first agent deployed)
- SQL: Sales-qualified with clear next step17
- Speed-to-Lead: Route PQLs to AE within 5 minutes; lower-tier within 1 hour.17
- Content Strategy: Compliance-focused thought leadership (HIPAA for AI agents, SOC2 for multi-tenant platforms) to build trust before demo requests.21
Prompt for deeper exploration:
"What are the most effective inbound content topics and gated assets for B2B SaaS targeting healthcare compliance officers and fintech security leads?"
Module 4: Hiring & Team Structure (Weeks 8–10)
The Playbook prescribes specific roles over distributed tasks:2220
| Revenue Stage | Recommended Hires |
|---|---|
| $0–$100K ARR | Founder-led sales, part-time compliance advisor |
| $100K–$500K ARR | First full-stack engineer, customer success/onboarding |
| $500K–$1M ARR | Head of Marketing (content + demand gen), DevRel or solutions engineer |
| $1M+ ARR | Dedicated security/compliance engineer, sales AE |
- Prefer equity/profit sharing for early hires over high base salaries.20
- Outsource legal and HR until Operations roles justify full-time.22
Prompt for deeper exploration:
"What is the optimal hiring sequence for a bootstrapped B2B SaaS platform serving regulated industries, and at what ARR thresholds should each role be added?"
Module 5: SaaS Metrics & Bottleneck Analysis (Weeks 11–12)
Rob Walling's "3 High / 3 Low" framework focuses on the metrics that matter most:1920
| Category | Metric | CODITECT Focus |
|---|---|---|
| High | MRR / ARR | Track separately for each ICP tier |
| High | Net Revenue Retention (NRR) | Expansion via agent-execution usage |
| High | CAC Payback Period | Target <12 months for Growth tier |
| Low | Churn | Segment by industry vertical |
| Low | LTV:CAC ratio | Target ≥3:1 |
| Low | Activation rate | % of trials deploying first agent within 7 days |
- Build a weekly dashboard (Metabase, Hex, or custom) surfacing these metrics.
- Identify funnel bottlenecks (trial → activation, activation → paid, paid → expansion) and prioritize fixes by revenue impact.1922
Prompt for deeper exploration:
"What are the benchmark activation rates and churn rates for B2B SaaS platforms in healthcare and fintech, and which leading indicators predict expansion revenue?"
Module 6: Mindset & Founder Resilience (Ongoing)
Walling emphasizes founder psychology—proactive decision-making, stress management, and avoiding burnout. Regulated industries amplify this because compliance is never "done."22
- Schedule quarterly "compliance sprints" to address audit findings proactively.
- Build a peer mastermind (TinySeed uses bi-weekly calls with 4–6 founders at similar stage).2316
- Protect focus time; limit meetings to ≤4 hours/week during deep-work phases.16
Suggested Next Steps
- ICP Workshop: Run a 90-minute session mapping CODITECT's ICP tiers, buyer roles, and disqualifiers.
- Pricing Teardown: Audit 3 competitors (Vanta, Teleport, Indent) and draft a pricing page mockup.
- Signal Scoring Spec: Write an OpenAPI-style spec for your lead-scoring events and routing rules.
Would you like me to draft a detailed ICP definition template, a competitive pricing teardown prompt, or a signal taxonomy schema for CODITECT?
What are the top 5 compliance pain points for mid-market fintech and healthtech CTOs when adopting agentic AI platforms, and which are underserved by existing solutions?" What pricing models do compliant SaaS platforms (Vanta, Drata, Teleport) use for regulated-industry customers, and how do usage-based vs. seat-based models affect CAC payback period? What are the most effective inbound content topics and gated assets for B2B SaaS targeting healthcare compliance officers and fintech security leads? What is the optimal hiring sequence for a bootstrapped B2B SaaS platform serving regulated industries, and at what ARR thresholds should each role be added? What are the benchmark activation rates and churn rates for B2B SaaS platforms in healthcare and fintech, and which leading indicators predict expansion revenue? ICP Workshop: Run a 90-minute session mapping CODITECT's ICP tiers, buyer roles, and disqualifiers.
Pricing Teardown: Audit 3 competitors (Vanta, Teleport, Indent) and draft a pricing page mockup. Signal Scoring Spec: Write an OpenAPI-style spec for your lead-scoring events and routing rules. Draft a detailed ICP definition template, a competitive pricing teardown prompt, or a signal taxonomy schema for CODITECT
Below is a compact, CODITECT-specific “TinySeed-style” playbook answering your questions and giving you three concrete workshop artifacts (ICP template, pricing teardown prompt, signal taxonomy schema).
1) Top 5 compliance pain points (mid-market fintech & healthtech CTOs)
For agentic AI platforms, these pain points are everywhere but underserved by current tooling.
- Model/data lineage & auditability
- Regulatory-safe content & decision automation
- Third-party risk & shared-responsibility ambiguity
- Continuous compliance vs. point-in-time certifications
- SOC2/HIPAA docs are static snapshots; regulators and enterprise customers increasingly want continuous control verification, especially for AI workflows that change weekly.34
- Dev/agent platforms (LangChain, etc.) provide no opinionated way to keep controls in sync with evolving graphs and agents.
- Marketing & external communications compliance
Underserved gaps CODITECT can own:
- Agent-graph aware audit trails mapped directly to SOC2/HIPAA control IDs.
- Policy-as-code for agents (who can call which tools on which PHI/PII, with explainable reasons).
- Regulator-aligned reporting (exportable evidence packages for audits).
- Embedded approval flows for AI-generated communications.
2) Pricing models (Vanta, Drata, Teleport) & CAC payback
Current pricing patterns
- Vanta
- Per-employee pricing for core compliance, plus add-ons for frameworks (SOC2, ISO) and adjacent modules.37
- Strong “per seat / per employee” anchor for mid-market.
- Drata
- Similar compliance automation model: tiers by framework, company size, and number of integrations.37
- Pricing discussions are sales-led; public pages emphasize outcomes, not exact numbers.
- Teleport (infrastructure access & security)
- Generally a combination of core platform fee plus usage-linked or resource-based pricing (e.g., nodes/resources) for larger customers.37
- Focus on security, access, and compliance posture for infra-heavy teams.
How pricing model affects CAC payback
- Pure seat-based or “per employee” models:
- Usage-based (agents, executions, tokens, workflows):
- Pros: NRR-friendly; high expansion potential for heavy users; aligns revenue with value.38
- Cons: Harder to forecast; can lengthen CAC payback if onboarding is slow or usage ramps gradually.
CODITECT-relevant hybrid
- Entrance: compliance-friendly “environment-based” platform fee (per tenant / workspace) plus usage blocks for agent execution.
- Compliance tiers: higher tiers bundled with compliance features (audit exports, BAAs, dedicated VPC), serving as natural expansion levers.
- CAC payback:
- Optimize for: high-ACV, low-volume customers (fintech/healthtech) → accept longer initial sales cycles but target <12-month payback by bundling compliance (BAA, evidence exports) as premium.
3) Inbound topics & gated assets (healthcare compliance officers, fintech security leads)
Inbound themes that convert regulated buyers
- For healthcare (CISO / Compliance Officer / VP IT)
- For fintech (CISO / VP Risk / CTO)
Best-performing gated assets
- Framework-aligned guides and checklists
- Evidence-heavy assets
- Case studies showing reduced audit prep time / fewer findings.
- ROI calculators tied to audit hours saved and incident risk reduction.33
- Workflow tools
4) Optimal hiring sequence & ARR thresholds (bootstrapped, regulated SaaS)
Synthesizing bootstrapped SaaS and growth-stage SaaS hiring guidance.404138
| ARR range | Core roles (incremental) | Notes |
|---|---|---|
| 0 – 100k | Founder-engineer, fractional legal/compliance advisor | Founder does sales & product; advisory-only compliance.38 |
| 100k – 300k | First full-stack or platform engineer | Stabilize infra, unblock founder from pure coding.38 |
| 300k – 600k | Customer Success / Onboarding lead | Reduce churn by owning onboarding & support.40 |
| 600k – 1M | Marketing generalist (content + ops) | Own compliance-first content, webinars, gated assets.4033 |
| 1M – 2M | AE or Sales Lead + DevRel / Solutions Engineer | Move from founder-only sales to repeatable motion.42 |
| 2M – 3M | Security/Compliance Engineer, RevOps/Data | Harden posture, build dashboards, improve NRR.40 |
- Keep hires multi-disciplinary; bias toward roles that lower churn or accelerate deal cycle.
- Use contractors for point-expertise (privacy counsel, audit prep) until ARR supports full-time.
5) Activation & churn benchmarks; expansion leading indicators
Public benchmarks for AI-in-regulated specifically are scarce, but B2B SaaS in healthcare/fintech shows some directional patterns.4337
Directional benchmarks (you’ll still want your own baselines)
- Trial/POC → Activation (meaningful usage)
- Logo churn (annual)
- NRR and expansion signals
- Strong NRR (110–130%+) typically driven by:
- More teams/regions using the platform (internal expansion).
- New frameworks/verticals (e.g., adding PCI, HITRUST).43
- Strong NRR (110–130%+) typically driven by:
Leading indicators of expansion for CODITECT
- Number of agent graphs in production environments (not just POC).
- Spread of usage from initial champion team → additional departments.
- Integration count (EHRs, CRMs, core banking systems).
- Growth in compliance artifact exports (evidence packs, audit logs) per quarter.
6) ICP Workshop: 90-minute CODITECT session outline
Goal: walk out with 2–3 clearly defined ICP tiers and disqualifiers.
Structure
- 0–15 min: Align on “must-have” vs. “nice-to-have” ICP attributes (industry, size, infra, compliance maturity).
- 15–45 min: Build Tier 1, 2, and 3 ICPs; define pains, triggers, buying committee, and current alternatives.4544
- 45–75 min: Define hard disqualifiers and risk flags (e.g., on-prem only, no cloud allowed; <20 employees; no urgent compliance trigger).38
- 75–90 min: Turn into a scoring rubric used by sales/marketing.
7) ICP definition template (CODITECT-ready)
You can paste this verbatim into Notion/Confluence and fill in.
# CODITECT ICP Definition – Tier X
## 1. Firmographics
- Industry/vertical:
- Geography:
- Company size (employees):
- Annual revenue:
- Funding type (bootstrapped, venture-backed, PE-backed):
## 2. Technographics
- Cloud providers (GCP/AWS/Azure/On-prem):
- Orchestration (Kubernetes/GKE/EKS/Other):
- Data stack (DBs, warehouses, event buses):
- Existing AI/automation tools (e.g., LangChain, internal orchestrators):
## 3. Compliance Posture
- Frameworks (SOC2, HIPAA, PCI, HITRUST, ISO, SOX):
- Upcoming audits or renewals (timeline, owners):
- Use of compliance automation tools (Vanta, Drata, Tugboat, in-house):
## 4. Primary Pains (Top 3)
1.
2.
3.
## 5. Triggers & Timing
- Recent events (funding, breach, audit findings, new regulation):
- Internal initiatives (AI working group, digital transformation, cost-cutting):
## 6. Buying Committee & Roles
- Champion (title, team):
- Economic buyer:
- Security/compliance stakeholders:
- Procurement / legal:
## 7. Status Quo & Alternatives
- Current tooling (manual, spreadsheets, other vendors):
- Why change now?
- What makes them say “no”:
## 8. Disqualifiers
- Hard disqualifiers (non-negotiable):
- Soft disqualifiers (proceed with caution):
## 9. Signal Mapping (for scoring)
- High-intent signals:
- Medium-intent signals:
- Disqualifying signals:
8) Competitive pricing teardown prompt (Vanta, Teleport, Indent)
Use this as a focused research prompt for yourself or another model:
"Analyze pricing models for three compliant SaaS / security platforms: Vanta, Teleport, and Indent.
For each vendor:
- Identify their primary pricing units (seats, employees, resources, frameworks, tenants, etc.).
- Describe public pricing tiers, add-ons, and notable enterprise-only features.
- Infer their ideal customer profile from pricing, messaging, and case studies.
- Note how they package compliance-related features (audit evidence, policy management, vendor risk, SSO, SCIM, private cloud, BAAs).
- Estimate ACV ranges by segment (SMB, mid-market, enterprise) using any available public references, job postings, and customer quotes.
Then:
- Propose a CODITECT pricing structure that:
- Uses a hybrid platform-fee + usage model (agents or executions).
- Bundles compliance features into higher tiers as natural expansion levers.
- Minimizes sales friction for pilots/POCs in regulated industries.
- Output a mock pricing page with 3 tiers (Starter, Growth, Enterprise) plus 2–3 common add-ons for regulated customers."
9) Signal taxonomy schema for CODITECT (lead scoring)
Below is an OpenAPI-style spec describing lead-scoring events & rules.
openapi: 3.1.0
info:
title: Coditect Lead Scoring API
version: 0.1.0
paths:
/events:
post:
summary: Ingest behavioral and firmographic events for scoring
operationId: ingestEvent
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/LeadEvent'
responses:
'202':
description: Event accepted
/leads/{leadId}/score:
get:
summary: Get current score and segment for a lead or account
operationId: getScore
parameters:
- in: path
name: leadId
required: true
schema:
type: string
responses:
'200':
description: Current score snapshot
content:
application/json:
schema:
$ref: '#/components/schemas/ScoreSnapshot'
components:
schemas:
LeadEvent:
type: object
required: [leadId, eventType, occurredAt]
properties:
leadId:
type: string
accountId:
type: string
eventType:
type: string
enum:
# Website/content
- PAGE_VIEW_PRICING
- PAGE_VIEW_SECURITY
- PAGE_VIEW_COMPLIANCE
- DOWNLOAD_WHITEPAPER
- DOWNLOAD_CHECKLIST
- WATCH_WEBINAR
# Product
- SIGNUP_TRIAL
- CREATE_SANDBOX_ENV
- DEPLOY_FIRST_AGENT
- CONNECT_PROD_DATA_SOURCE
- ENABLE_AUDIT_LOG_EXPORTS
- INVITE_TEAM_MEMBER
# Sales
- REQUEST_DEMO
- ATTEND_DEMO
- SECURITY_QUESTIONNAIRE_REQUEST
- LEGAL_REVIEW_STARTED
# Firmographic/ICP
- ICP_MATCH_STRONG
- ICP_MATCH_MEDIUM
- ICP_MISMATCH
# Negative
- UNSUBSCRIBE_EMAIL
- INACTIVE_30_DAYS
metadata:
type: object
additionalProperties: true
occurredAt:
type: string
format: date-time
ScoreSnapshot:
type: object
properties:
leadId:
type: string
accountId:
type: string
totalScore:
type: integer
segment:
type: string
enum: [NURTURE, MQL, PQL, SQL]
lastUpdatedAt:
type: string
format: date-time
rationale:
type: array
items:
type: string
x-scoringRules:
# High-intent actions
PAGE_VIEW_PRICING: 10
PAGE_VIEW_SECURITY: 10
PAGE_VIEW_COMPLIANCE: 10
DOWNLOAD_WHITEPAPER: 8
DOWNLOAD_CHECKLIST: 8
WATCH_WEBINAR: 12
SIGNUP_TRIAL: 20
CREATE_SANDBOX_ENV: 25
DEPLOY_FIRST_AGENT: 35
CONNECT_PROD_DATA_SOURCE: 40
ENABLE_AUDIT_LOG_EXPORTS: 20
INVITE_TEAM_MEMBER: 10
REQUEST_DEMO: 30
ATTEND_DEMO: 30
SECURITY_QUESTIONNAIRE_REQUEST: 40
LEGAL_REVIEW_STARTED: 40
ICP_MATCH_STRONG: 30
ICP_MATCH_MEDIUM: 15
ICP_MISMATCH: -40
UNSUBSCRIBE_EMAIL: -15
INACTIVE_30_DAYS: -20
x-segmentation:
NURTURE:
scoreRange: [0, 50]
action: "Enter automated nurture sequence"
MQL:
scoreRange: [51, 90]
action: "SDR qualification within 24 hours"
PQL:
scoreRange: [91, 130]
action: "AE outreach within 4 hours"
SQL:
scoreRange: [131, 999]
action: "Immediate AE follow-up (<1 hour), prioritize security & compliance discussion"
If you want to go deeper next, a good follow-up is: “Design the CODITECT ‘compliance evidence pack’ (control mappings, exports, and APIs) that becomes the main expansion lever and lock-in for mid-market fintech/healthtech.”
Design the CODITECT ‘compliance evidence pack’ (control mappings, exports, and APIs) that becomes the main expansion lever and lock-in for mid-market fintech/healthtech.
Design the CODITECT evidence pack as the “single pane of glass” for proving that agentic workflows are safe and compliant across SOC2, HIPAA, PCI, and related frameworks.5051
Evidence pack concept
The CODITECT Compliance Evidence Pack is a structured bundle of:
- Control mappings: agent/graph-level events mapped to SOC2, HIPAA, PCI, and internal controls.5250
- Exports: immutable, auditor-ready workpapers for a timeframe, framework, or system.535455
- APIs: pull-based and push-based interfaces to integrate with GRC tools, SIEMs, and audit platforms.5652
It should be usable in three modes:
- “Click export before audit” (like Vanta/Drata workpapers).5455
- Continuous compliance dashboards (like Kosli / unified API approaches).575352
- Real-time evidence streaming (to SIEMs / data lake).5256
1) Control mapping model
Control mapping primitives
Define a normalized schema for Control, Signal, and EvidenceItem:
- Control:
- Signal: raw observables from CODITECT:
- EvidenceItem: a concrete, time-bounded proof:
Control mapping logic
Introduce a Control Mapping Engine:
- Pre-built mappings for major frameworks:
- Example:
- Mapping table: each Control references:
This engine runs continuously; for each control and timeframe, it maintains a ControlStatus (Pass/Fail/Warning/Unknown) with pointers to EvidenceItems.505752
2) Evidence export design
Take inspiration from “workpaper” exports and continuous-compliance tools.555354
Export types
- Framework Pack Export
- Scope: framework + time window (
SOC2, FY2025;HIPAA, last 6 months). - Content:
- Scope: framework + time window (
- System/Service Pack Export
- Audit Workpaper Export
Export formats
Export UI flows
- “Export Evidence” button in each framework and control view.
- Filters: framework, time window, environment, service, agent graph.
- “Share with auditor” link (time-limited, scoped access similar to Vanta/Drata auditor views).6055
3) Evidence APIs
Design the evidence pack as an API-first product, so GRC/audit partners integrate and become distribution channels.575652
Core endpoints
GET /frameworks
# List frameworks & control coverage summary
GET /frameworks/{frameworkId}/controls
# List controls with status and evidence counts
GET /frameworks/{frameworkId}/controls/{controlId}/evidence
# Paginated evidence items with metadata & hashes
POST /exports
# Start an export job (framework, time range, scope); returns exportId
GET /exports/{exportId}
# Export status + signed URLs for files
GET /systems
# List systems/services (agent clusters, runtimes) with mapped controls
GET /systems/{systemId}/timeline
# Deployments, agent-graph changes, policy updates for a time range
Ingestion endpoints
Allow customers to extend CODITECT evidence with their own systems:
POST /evidence/custom
# Ingest external evidence and map it to CODITECT controls
POST /signals
# Event ingestion for non-CODITECT flows (e.g., manual approvals)
Under the hood, these flow into the same Control Mapping Engine and show up in exports.575652
4) Lock-in & expansion mechanics
Design the Evidence Pack so that the more a customer uses CODITECT for compliance, the harder it is to replace.
Lock-in levers
- Multi-framework mapping: once SOC2 + HIPAA + PCI mappings live inside CODITECT, re-implementing them is painful.5051
- Historical evidence: 5+ years of audit-ready agent and data-access history is difficult to migrate.615657
- API integrations: custom GRC and SIEM workflows built on CODITECT evidence APIs become stickiness points.585652
Expansion levers
- New frameworks / regions: add-on packs (HITRUST, ISO 27001, GDPR, export-control) reusing underlying signals.59615851
- New systems: every additional agent cluster or application onboarded to CODITECT requires more evidence and control mapping.
- Auditor collaboration features: built-in auditor portals, comments, attestation workflows (similar to Drata’s audit hub).6055
Tie your pricing to:
- Number of frameworks enabled per tenant.
- Number of systems/environments covered by evidence pack.
- Evidence retention window (e.g., 1, 3, 5+ years).
5) Practical implementation phases
A realistic implementation roadmap:
- Phase 1 – Internal control catalog & mapping
- Implement SOC2 + HIPAA + PCI control models.
- Map existing CODITECT logs to a minimal set of Signals and EvidenceItems.
- Build internal dashboards for control status.
- Phase 2 – Export & auditor UX
- Phase 3 – External APIs & continuous compliance
- Phase 4 – Partner integrations
- Integrate with at least one GRC platform and one SIEM; position CODITECT as “AI/agent evidence layer” for those ecosystems.
If you want, the next step can be a concrete data model: tables/schemas for control, signal, evidence_item, and export_job optimized for Postgres, plus example queries auditors and GRC tools would run.