Commercial Framework & Engagement Architecture
Why “we should probably talk first” — enterprise AI is not a generic $49/month SaaS button. We provide a transparent, negotiable cost framework structured around two clear components: CapEx (The Build & Rapid Pilot Sprint) and OpEx (Operational Guardianship & Support).
1. Why “We Should Probably Talk First”
Anyone offering a fixed “$49/month” pricing button on enterprise AI is either selling a shallow wrapper around an external API or hiding the real cost of systems engineering. True organizational AI touches your proprietary workflows, private ERPs (Tally, SAP, Oracle), secure databases, and real company money.
Every company's operational bottlenecks, data architectures, and regulatory tolerances are unique. An automated supplier reconciliation engine has entirely different latency, dual-custody, and audit requirements than a WhatsApp sales routing system. We don't force you into rigid, inflated corporate pricing tiers or trap you with per-employee SaaS seat taxes. Instead, we have an initial engineering conversation to understand your workflow, scope exact deliverables, and agree on a transparent, negotiable commercial framework tailored to your organization.
2. The Basic Cost Structure (CapEx + OpEx)
Our pricing is built around two straightforward components: an upfront capital build to architect and test your sovereign runtime, followed by an ongoing operational guardianship retainer to keep it drift-free and secure.
A fixed-scope, milestone-based engineering sprint to audit, sandbox, harden, and deploy your sovereign runtime on your actual business workflows.
- Institutional workflow logic audit & invariant mapping
- Provisioning of private Cloudflare Edge Worker mesh
- Deterministic capability contracts & tool boundary gates
- Append-only HMAC flight recorder & audit ledger setup
- Adesha mobile governance terminal & emergency killswitch
- Live supervised pilot with dual-custody approval holds
A predictable monthly engineering AMC (Annual Maintenance Contract) to ensure 99.9% runtime reliability, zero model drift, and ongoing safety.
- Automated weekly adversarial regression test passes
- Semantic drift detection & prompt recalibration
- Underlying foundation model migration & upgrade safety
- Zero-downtime cryptographic key rotation
- Priority incident triage SLA (< 2 hour response)
- Monthly compliance ledger verification & executive reports
3. The 4 Engineering Scoping Criteria
To keep commercials completely transparent, every quote is calculated against four objective architectural dimensions audited during our initial discovery review — exactly as outlined in our core operating principles:
Workflow Complexity
How intricate the process is: The number of operational steps, decision branches, validation rules, and multi-step reasoning loops required to complete tasks safely.
Systems & Software Connected
What systems the AI touches: Which internal databases, accounting software (Tally, SAP, Oracle), or custom PostgreSQL/MongoDB endpoints require secure credential sandboxes and deterministic adapters.
Operational Stakes & Approvals
The real financial and legal stakes: Low-risk inquiries need lightweight gates; financial disbursements, inventory releases, or contract mutations require dual-custody manager holds and HMAC cryptographic audit logs.
Ongoing Engineering & Support
Keeping the system tuned and secure: The required SLA response window, frontier model upgrade cycle, prompt maintenance, and business rule updates as your company policies evolve.
Executive Optimization Tip: You don't have to automate your entire enterprise on day one. Most clients begin with a single, high-leverage, bounded workflow (such as vendor invoice verification or high-volume dispatch reconciliation). This keeps initial CapEx low, allows us to deliver a working sandbox in just 5 to 10 days, and lets the system pay for itself before expanding into adjacent operations.
4. Rapid Phased Implementation Schedule
We don't believe in multi-month enterprise development cycles with delayed ROI. Our delivery follows a rapid, iterative sprint model where you see working execution within days:
| Sprint Phase | Timeline | Core Engineering Deliverable | Client Ownership Asset |
|---|---|---|---|
| Phase 1: Workflow & Logic Audit | Day 1 – 2 | Map decision boundaries, failure modes, and deterministic invariants | Institutional Invariant Specification (PDF & JSON schema) |
| Phase 2: Sandbox & Gate Adapters | Day 3 – 5 | Edge compute worker cluster, vector embeddings, and zero-ambient DB gates | Dedicated tenant repository & Cloudflare Worker deployment |
| Phase 3: Capability Contracts | Day 6 – 7 | Declarative contracts with dual-custody hold logic & safety test suites | Strict TypeScript schema contracts with invariant test harness |
| Phase 4: Supervised Live Pilot | Day 8 – 10 | Live transaction batch runs with append-only HMAC cryptographic flight recorder | Verified pilot run scorecard & audit ledger verification |
| Phase 5: Production & Guardianship | Day 11+ | Adesha mobile governance terminal handoff and ongoing anti-drift AMC | Executive operator access keys, 1-tap killswitch, & monthly AMC SLA |
5. Explicit Scope Boundaries (What We Do NOT Build)
To maintain uncompromised operational security and deliver guaranteed outcomes, MudraForge enforces strict engineering boundaries:
- × No Consumer Chatbot Wrappers: We do not sell superficial chatbot widgets or wrapper APIs that pipe uncurated prompts to third-party endpoints.
- × No Ambient Database Write Access: AI agents never receive direct SQL or NoSQL write credentials. Every single mutation passes through hard-coded deterministic boundary contracts.
- × No Unverified High-Stakes Autonomy: Irreversible actions — moving company money, releasing contracts, or bulk inventory modifications — always enforce human leadership sign-off through Adesha.
Let's Have an Engineering Conversation
Connect directly with our systems architects to map your operational workflow, estimate your 5-to-10 day pilot sandbox, and agree on a tailored, negotiable milestone plan.