Autopilots
Intelligence during delivery. Memory after go-live.
Most of what slows enterprise programs down is not a judgement problem. It is an intelligence problem — work that is verifiable, repeatable, and structured enough that a senior consultant should not be doing it manually.
henkadigital’s intelligence layer operates across two time horizons: during delivery, our in-program autopilots handle governance activities that would otherwise consume senior consultant time without requiring senior consultant judgement. After go-live, Ranti preserves the institutional knowledge that the project created and uses it to resolve the problems the project left behind.
FLAGSHIP PRODUCT
Ranti
The autopilot for post-go-live ERP.
Every ERP implementation produces a configured system and a body of institutional knowledge about why it was configured that way. The system persists. The knowledge does not. Within months of go-live, every support ticket triggers an SI investigation — and in the majority of cases, the answer already exists in the project record.
Ranti sits between your ITSM platform and your ERP system, reading both the implementation record and the live system configuration. When a ticket comes in, Ranti classifies it in seconds by comparing what was decided during the project against what actually exists in production.
Three pillars: Knowledge (the implementation record, queryable against every ticket), Configuration (the live system state, read continuously via read-only API), and Delta (the computed gap between the two). Every classification is derived from comparing these three layers.
Six ticket categories: Training Gap, Scope Deviation, Standard System Behavior, Master Data Issue, Config Change Impact, and Unrecorded Need. Each has a different resolution path. Training gaps and standard system behavior auto-close without reaching the SI. The rest escalate with full context attached.
A living memory: Knowledge is not a one-time ingest. When Ranti encounters a ticket that matches no existing record and the system is working as designed, it flags an unrecorded need — a business requirement that was never captured or one that evolved after go-live. Confirmed needs become new Knowledge entries. The system gets smarter over time.
In-Program Governance Suite
These autopilots run during active delivery. Each one is designed around a specific governance failure we have observed repeatedly across programs. They are not general-purpose tools. They are purpose-built instruments that run continuously alongside any program, independent of who is leading it.
✦ Available for Pilot
RAID Intelligence
The problem: RAID logs are updated reactively, infrequently, and usually by the person with the least context. By the time a risk surfaces in the register, it has already become an issue — and the decision trail that led there has been lost.
What it does: Continuously processes meeting transcripts, status updates, and delivery artifacts to maintain a live RAID register — no manual updates required. Surfaces escalation signals proactively, ranked by severity and program impact, before they reach steering committee level. Maintains full decision traceability: who decided what, when, and with what information — accessible at any point during or after the program.
What you get: A RAID log that is always current, always complete, and never depends on someone remembering to update it.
✦ Available for Pilot
Steering Intelligence
The problem: Steering packs are built manually the night before the meeting, from stale data, by someone who should be solving problems instead. The result is a status summary that tells the committee what happened last week — not what they need to decide this week.
What it does: Auto-generates steering committee packs from live program data on a defined cadence — ready every Friday morning, no manual assembly. Surfaces the three to five decisions that actually require steering committee attention, not a comprehensive status summary. Tracks steering decisions and commitments forward into the next cycle automatically, creating a continuous decision register.
What you get: A steering pack that reflects the current state of the program, focuses the committee on decisions rather than reporting, and is ready before the meeting — not during it.
⬥ In Development
Scope & Schedule Monitor
The problem: Scope drift is invisible until it is expensive. By the time it appears in a status report, six weeks of compounding decisions have already been made. The schedule impact is known — but the causal chain that created it is not.
What it does: Tracks scope commitments against delivery progress in real time, identifying drift as it develops rather than after the fact. Calculates earned value metrics — schedule variance and budget overrun — continuously against baseline, not retrospectively at phase gates. Quantifies the downstream impact of emerging drift before it is formally recognized as a change request. Identifies change request patterns that signal systemic scope management failure: when five CRs trace to the same upstream decision, that is not five scope changes — it is one governance gap producing five symptoms.
What you get: Early warning on scope risk, grounded in earned value data and root cause traceability — before it becomes a schedule crisis and a difficult conversation with the steering committee.
Beyond Governance
Governance is where we start. It is not where we stop. As engagement data compounds, the in-program suite expands into adjacent intelligence activities: test execution readiness assessment, change request impact analysis, resource bottleneck detection, data migration readiness monitoring, vendor/SI performance benchmarking, and cutover rehearsal readiness.
Beyond that, henkadigital is building two additional capability domains that extend the intelligence layer deeper into ERP delivery:
Technical Delivery Accelerators
Built on demand.
AI-powered tools for the technical dimension of ERP modernization: custom code documentation and knowledge capture, fit-to-standard analysis, code generation for Clean Core compliance, and ALM transition tooling. Each tool is configured per engagement based on the client’s SAP landscape.
Business Process Automation Agents
Built on demand.
Autonomous SAP agents that remove manual work from core business processes: finance operations (AP, AR, cash application, dispute resolution), supply chain management (MRP exceptions, inventory monitoring), reporting and insights (natural-language SAP queries, Slack/Teams integration), and month-end close assistance. Configured around each client’s business rules and audit requirements.
Interested in a Pilot?
We are currently accepting pilot clients for Ranti (post-go-live delivery intelligence) and for RAID Intelligence and Steering Intelligence (in-program governance). Pilot engagements are scoped for a single active program or SAP system and include direct access to both founders during the deployment period.
If you are running a program where any of these problems are real, we would like to talk.