Your business, understood. Your leaders, multiplied.
Request a briefingSIEP builds three models of your company: how the business works, how each leader decides, and how the work gets done. On them it gives every leader an executive agent that monitors the business and acts the way that leader would, with that leader.
See the three models01 / The problem
Your best judgment sits in a handful of calendars.
Enterprises have more data and more software than ever. The decisions still wait on the same few people, and the tools around them neither understand the business nor act on it.
- 01
Decisions queue behind a few people.
Every important decision waits on a handful of leaders. Their judgment does not scale, and their time is the bottleneck.
- 02
How the business really works is unwritten.
Which customer always pays late, which limit really matters, who must hear first. It lives in people's heads and leaves with them.
- 03
Dashboards report. They do not decide.
BI shows what happened, usually too late, and never says what to do next or who should do it.
- 04
Copilots know the world, not your company.
They wait for a question. They do not know your value chain, your limits, who decides what, or how your CFO thinks.
- 05
Deviations are found after the money is gone.
Rules, approvals and follow-ups fall between systems, mailboxes and meetings. Nobody owns the open loop.
02 / What SIEP fixes
From reporting what happened to acting on what matters.
- ReportingActing
A dashboard shows the gap. SIEP prepares the response, routes it to the right person and moves it forward.
- Generic AICompany-specific judgment
Every answer is grounded in your value chain, your limits and your decision rights.
- Key-person dependenceInstitutional decision memory
Every issue, decision and closure is kept with its reasoning, and stays when people move on.
- Late discoveryEarly warning from forecasts
Deviations surface weeks before they reach the books, with a confidence range.
- Follow-up by chasingFollow-up until closed
The agent owns the open loop: it reminds, escalates and records until someone closes it.
03 / The differentiator
Three models of your company. One executive agent per leader.
Generic AI starts from the internet. SIEP starts from three models of your company, built with your management and tested against the questions it actually asks. Select a model to open it.
Business Ontology
A living semantic model of the enterprise.
Not a data warehouse and not a document store. A model of what your business is made of and how its parts move each other, linked to the real data behind every number.
- The value chain and the business objects in it
- KPIs and the cause chains between them
- Limits, targets and tolerances
- Owners, decision rights and escalation paths
- Links to the source data behind each figure
How it is builtModelled with your management, linked to source data, versioned, and tested against the competency questions management actually asks.
Leader Model
How each leader decides, captured and kept current.
The part no other system has: the judgment of the person who carries the responsibility. Each agent works from its own leader's model, not from an average.
- Priorities and what they look at first
- Thresholds: what they approve, what they escalate
- Who they ask, and in which order
- How they ask and how they write
- What “good” looks like to them
How it is builtLearned from the leader's decisions, approvals, mails and meetings. Reviewed and corrected by the leader, and updated with every approval.
- Priorities
- Cash, margin, covenant headroom
- Approves
- Within own budget authority
- Escalates
- Anything above the reportable limit, to the CEO, same day
- Asks first
- Head of Sales on collections, Head of Procurement on payables
- Writes
- Short. Numbers first. One clear question and a date.
- Good looks like
- Two options with their impact, not an alarm
Learned from 412 decisions and 1,280 approvals*
Skills
The know-how of how the business runs, as versioned playbooks.
How a cash gap is handled, how a buy-or-wait call is prepared, how a budget overrun is reviewed. Written down once, followed every time, improved in the open.
- Procurement and supplier decisions
- Cash and working capital
- Budget and spend control
- Sales, pricing and targets
- Production planning at management level
How it is builtWritten with your process owners, versioned like code, and reviewed before any agent follows a new version.
- Confirm the forecast range and the limit it crossesOntology
- Trace the drivers and their ownersOntology
- Ask the owner of the largest driver, in the leader's voiceLeader Model
- Escalate if still above the limit by the agreed dateLeader Model
- Close with a note and record the decisionMemory
Also in the library: procurement-buy-or-wait v2.0, budget-overrun-review v1.4, sales-target-variance v2.1
* Figures in panels are illustrative sample data.
04 / How it works
Sense. Understand. Judge. Act. Learn.
Every executive agent runs the same loop. The three models decide what happens inside it, and the leader stays in control where it counts.
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The agent watches the numbers its leader cares about and the forecasts behind them, on a schedule and on live triggers from data, mail and meetings. It wakes only when something matters.
Uses: Event engine, Forecasting
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The Business Ontology traces a deviation to its causes and its consequences, and finds who owns each part and which limit it touches.
Uses: Business Ontology
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The Leader Model applies the leader's priorities, thresholds and escalation habits. Below the leader's line the agent records it. Above it, the agent moves, in the order the leader would.
Uses: Leader Model
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Within the authority the leader has granted, the agent acts on its own as agent-of-X, never with the leader's credentials. Where it matters, the leader approves with one click. On ambiguity, it stops and asks.
Leader control: approval gates set by the authority matrix
Uses: Skills, Agent runtime, Governance
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Approvals, edits and rejections update the Leader Model. The case, the decision and the outcome go into decision memory, so the next case starts from precedent.
Leader control: the leader reviews and corrects their own model
Uses: Leader Model, decision memory
05 / Worked example
A week-6 cash gap, from forecast to closed.
Step through how agent-of-CFO handles one deviation. Sample figures only.
Step 1 of 5 / Sense
The forecast shows a cash gap in week 6, above the reportable limit.
The weekly cash forecast runs on its schedule. Week 6 lands at −4.2 M against a reportable limit of −3.0 M. Nobody has asked yet. The agent wakes because this crosses a line its leader cares about.
Event engine · Forecasting
Step 2 of 5 / Understand
The ontology traces the gap to two causes and their owners.
Collections from two customer groups have slowed, and a supplier payment peak falls in the same week. The ontology knows which KPI drives which, who owns each driver, and that this limit is reportable to the CEO.
Business Ontology
- Cash gap, week 6−4.2 M
- Collections slower than plan−2.1 MOwner: Head of Sales
- Customer group A, paying 9 days later−1.3 M
- Customer group B, paying 6 days later−0.8 M
- Supplier payment peak−1.6 MOwner: Head of Procurement
- Seasonal baseline−0.5 MExpected, no action
Step 3 of 5 / Judge
The Leader Model knows what this CFO would do.
This CFO asks the sales head first on collections, and informs the CEO of anything above the reportable limit. The agent decides to act now, in that order, and to bring options rather than an alarm.
Leader Model
- Collections issueAsk Head of Sales first, before Treasury
- Above reportable limitCEO must be informed, same week
- Writing styleShort, numbers first, one question and a date
Decision
Act now. Ask Head of Sales for confirmed dates. Prepare the CEO note. Sending on the CFO's behalf needs one approval.
Step 4 of 5 / Act
A draft in the CFO's style, approved with one click.
The agent drafts the question the way the CFO would write it. The CFO approves without edits. The agent sends as agent-of-CFO and sets its own follow-up.
Skills · Agent runtime · Governance
- From
- agent-of-CFO, on behalf of the CFO
- To
- Head of Sales
- Subject
- Week 6 collections, groups A and B
Collections from groups A and B are running 6 to 9 days late. Together with the supplier peak this opens a week-6 gap of −4.2 M, above our reportable limit. Can you confirm payment dates for the ten largest open invoices by Thursday?
- 09:12Draft prepared by agent-of-CFO
- 09:14Approved by CFO, no edits
- 09:14Sent as agent-of-CFO
- Thu 10:00Follow-up scheduled if no answer
Step 5 of 5 / Close and learn
The answer arrives, the CEO is informed, the issue is closed and remembered.
Sales confirms dates for eight of ten invoices. The forecast moves back inside the limit. The agent writes the closing note to the CEO, records the decision, and the Leader Model learns that this kind of query needs no edits.
Decision memory · Leader Model
Note to CEO, sent as agent-of-CFO
A week-6 cash gap of −4.2 M was flagged on Monday from the forecast. Cause: slower collections from two customer groups plus a supplier payment peak. Sales has confirmed dates for 8 of 10 invoices; the revised forecast is −2.6 M, within the limit. No action needed from you.
- MemoryDecision D-0412 recorded: cause, action, outcome
- Leader ModelCollection queries: approved without edits, confidence raised
All names are roles, all figures are illustrative sample data.
06 / Technology
Built like infrastructure, not like a chatbot.
Eight building blocks under every executive agent. Each one inspectable, each one replaceable. Hover a block to see where it sits.
- 01
Ontology engine
An OWL/SKOS business model in a graph, versioned, quality-gated and tested with competency questions.
Agents reason over your business, not over generic text.
- 02
Leader Model and decision memory
A profile per leader, plus a register of every issue, decision and closure.
Judgment stays when people move on; every case starts from precedent.
- 03
Agent runtime
Executive agents with their own identity, agent-of-X, never a human's credentials.
Every action is attributable to an agent and to the leader it serves.
- 04
Event engine
Scheduled checks and live triggers from data, mail and meetings.
Agents wake only when something matters; leaders are not flooded.
- 05
Forecasting
Time-series foundation models for cash, sales, demand and harvest-type outlooks, with confidence ranges.
Deviations show up weeks before they reach the books.
- 06
Model choice and sovereignty
Several frontier and self-hosted language models behind one layer.
Sensitive data can stay on your own servers; no lock-in to one vendor.
- 07
Governance
Authority matrix, approval gates, stop-and-ask on ambiguity, full audit trail, and evaluation against a test set before go-live.
Autonomy is granted, measured and revocable.
- 08
Integration layer
Read-side links to ERP, BI, mail and chat.
SIEP works on top of your systems. Nothing is replaced.
07 / Value
What changes for leadership.
- 4–6*weeks earlier
Deviations flagged from forecasts, not from month-end reports.
- 8*hours a week, per leader
Returned from preparing, asking and chasing.
- 80%*of follow-ups
Closed without anyone having to chase them.
- 100%*of agent actions
Attributable to an agent, a leader and an authority, and auditable.
* Illustrative sample figures for a mid-size enterprise, not measured results.
08 / Executive agents
One agent per leader. Each one thinks like its leader.
CEO
agent-of-CEO
Monitors
- Strategic KPIs against plan
- Risks that cross a reportable limit
- Decisions waiting on the CEO
Acts
- Prepares board and leadership briefs
- Follows up commitments from leadership meetings
CFO
agent-of-CFO
Monitors
- Cash forecast against limits
- Budget against actual, by owner
- Receivables and payables
Acts
- Asks owners for explanations and dates
- Drafts CEO and board notes on deviations
CPO
agent-of-CPO
Monitors
- Input price outlooks against budget
- Supplier concentration and renewals
- Spend outside the approved frame
Acts
- Prepares buy-or-wait options for approval
- Follows open negotiations to closure
CCO
agent-of-CCO
Monitors
- Sales against target, by segment
- Price and margin against floor
- Risk signals on key accounts
Acts
- Drafts account reviews before meetings
- Chases overdue commercial commitments
CHRO
agent-of-CHRO
Monitors
- Succession cover for critical roles
- Headcount and people cost against plan
- Attrition signals in key teams
Acts
- Prepares hiring and retention cases
- Follows up actions from leadership reviews
09 / Why SIEP
Not another dashboard. Not another chatbot.
| Capability | Dashboards and BI | Copilots and chatbots | Workflow automation | SIEP |
|---|---|---|---|---|
| Knows your business model | Metrics, not causes | General knowledge | Process steps only | Business Ontology |
| Thinks like your leaders | No | No | No | Leader Model per leader |
| Acts on its own initiative | Alerts at best | Waits for a prompt | Fixed triggers | Within granted authority |
| Follows up until closed | No | No | On fixed paths | Owns the open loop |
| Governed and auditable | Access control | Chat history | Process logs | Authority, gates, full trail |
YesPartlyNo
10 / Deployment
First executive agents live in twelve weeks, on your ground.
Phase 1 · Weeks 1–4*
Model the business
Build the Business Ontology for the first domains with your management. Link it to source data and test it against the questions they ask.
Phase 2 · Weeks 5–8*
Onboard the leaders
Capture each leader's model, agree the authority matrix and approval gates, and write the first skills.
Phase 3 · Weeks 9–12*
Go live
The first executive agents start, each one evaluated against its test set first. Autonomy widens as trust is earned.
- On-premiseOn your own servers, with self-hosted models
- Private cloudIn your tenant, under your keys
- Your systems stayERP, BI, mail and chat remain in place
* Sample timeline; actual scope is agreed per company.
Bring one decision your leaders make every month.
In a briefing we take one recurring leadership decision and show how SIEP models it, judges it and acts on it, with your leader in control.
Request a briefing