SigmaEra for Executive

You're making decisions without the intelligence your organization already has.

SigmaEra is the enterprise AI orchestration platform — the nervous system that surfaces strategic risk, preserves institutional knowledge, and delivers the organizational intelligence executives have never had before.

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A quarter, end to end

From "I think so" to "I know, and here is the evidence."

The arc a chief executive walks with SigmaEra: the questions you are asked and cannot answer, the layer that answers them, and what changes about how you run the quarter.

1The board meeting
A question you cannot actually answer
Someone asks why two teams are building the same thing, or whether the flagship programme is really on track. You give the answer you were given. You do not know whether it is true, and neither does the person who gave it to you.
What you have to answer
Is what I am being told upward the same as what is happening downward?
How much of our effort is duplicated, and would anyone tell me?
Which commitments were actually made, versus reported as made?
The layer that answers it
Organizational intelligence
Meetings, documents, and decisions are canonicalized and projected into an entity and relationship graph — projects, owners, commitments, dependencies — so "what did we decide and who owns it" is a query rather than a round of forwarded emails.
What changes for you
The reporting line stops being the only instrument you have. You can check a version of reality that nobody had to summarize for you first.
2Six weeks earlier
The risk that was visible the whole time
Every serious problem you have handled was discussed somewhere before it reached you — usually weeks before, usually by people who assumed someone senior already knew.
What you have to answer
What is slipping right now that has not been escalated yet?
Where are commitments being made with no owner attached?
Which initiatives are drifting from what we agreed they were for?
The layer that answers it
Typed signal extraction
A catalog of typed signals — timeline slip, blocked dependency, scope creep, resource gap, and actions agreed with nobody’s name on them — extracted from the conversations where those things are actually said, then rolled up rather than reported.
What changes for you
Escalation stops depending on someone being brave enough to escalate. The signal reaches you while it is still a decision rather than a post-mortem.
3The approval
You are accountable for the AI too
Your people are already using AI. Whether that is an asset or an incident is currently a matter of luck, and you are the one who answers for it either way.
What you have to answer
Can we adopt this without creating a governance problem I will own?
What can we actually claim to customers and regulators?
If this goes wrong, what does the record show?
The layer that answers it
Governance as a control plane
Every model call passes one policy enforcement point with budget and approval pre-flight. Access to sensitive content is filtered at every read and audited in the same transaction, with a published register of which controls are live and which are not yet switched on.
Reads of sensitive content are audited in the same transaction
Live, test-pinned
Append-only audit table with UPDATE forbidden and DELETE permitted only to the retention worker. Every authentication event, authorization deny, cross-tenant admin action, and sensitivity-filtered read is recorded, with a 730-day minimum retention on intelligence reads. The audit event for a filtered read is emitted in the same transaction as the response.
White paper — Audit & observability
What changes for you
You are adopting AI with a defensible record rather than a hopeful one — and you know exactly which claims you can make out loud.
4The departure
Your best person resigns
Someone senior leaves and takes fifteen years of context with them — why the pricing model is shaped that way, what was promised to which customer, which vendor conversation went badly and why.
What you have to answer
What institutional knowledge is held by one person and written down nowhere?
When they go, what does the organization forget?
Can a successor inherit context rather than start again?
The layer that answers it
Compounding institutional memory
Decisions accumulate with their rationale and provenance, and derived intelligence links back to the evidence it came from. The corpus grows into a company-specific record that gets more useful as it ages rather than less.
What changes for you
Continuity stops being a function of who stayed. The organization remembers, and a successor starts from context rather than from scratch.
5A year in
The difference between a tool and an asset
Most of what you have bought depreciates from the day it is installed. You want to know whether this is different, and why you should believe it.
What you have to answer
Does this get better with use, or just more expensive?
What do we own at the end of it?
Is any of this transferable if we change vendors?
The layer that answers it
Compound value
Your corpus and the intelligence derived from it accumulate inside your own tenancy, on standards-based infrastructure with no cloud-vendor-locked primitives in the data plane — and the same platform runs on your own infrastructure if you want it there.
What changes for you
What you are buying accrues rather than depreciates, and the thing that accrues is yours.

Control register

3live and test-pinned

Read the full security white paper

Every layer above is documented there in full, including the threat model and the control-status register.

Further controls

Everything else the review will ask about.

Controls beyond those covered in the walkthrough above, in the same format: what it guarantees, how it is enforced, and its current status.

2 live · 0 built but gated · 0 partial

Tenant isolation is enforced by the database, not by application code

Live, test-pinned

A query written incorrectly cannot return another organization’s rows. The isolation does not depend on every developer remembering to add a filter.

How it is enforced

Every domain table carries tenant_id NOT NULL under Postgres Row-Level Security with FORCE ROW LEVEL SECURITY, keyed on a transaction-local GUC. A privilege split means the runtime role cannot bypass RLS, a boot-time assertion refuses to start in production if a service connects as a superuser or BYPASSRLS role, and CI fails any migration that creates a domain table without RLS.

White paper — Tenant isolation

Cross-tenant access holds no privileged credential

Live, test-pinned

For parent, MSP, and holdco structures, there is no service account anywhere that can read across the organizations you manage. Access resolves through the individual asking.

How it is enforced

The parent view never holds a credential that reads children. There is no service-side spanning read path: every spanning read resolves through the requesting user’s own per-child membership and scope grants at read time, gated by a consent state machine with defined revocation semantics.

White paper — Multi-organization access

Read the full security white paper

Including the threat model, the trust-boundary architecture, and a control-status register that names what is on the roadmap rather than shipped.

The full SigmaEra platform, for Executive

Beneath the controls, the platform itself.

The five capabilities every SigmaEra deployment runs, read through the lens of this role.

Five stages · Protect → Emerge

01
Protect
Strategic conversations, board materials, and sensitive decisions are governed at every read, audited, and — on an in-boundary deployment — never leave your own infrastructure.
02
Orchestrate
One intelligence layer covers every team, every tool, every meeting — giving you a single view of what's actually happening.
03
Automate
Reporting, alignment checks, and risk monitoring run automatically — leadership gets signal without hunting for it.
04
Compound
Institutional knowledge accumulates — every meeting, every decision, every insight builds your organization's intelligence over time.
05
Emerge
Strategic insights surface that no dashboard was designed to find — the intelligence that emerges from the pattern of everything.

The Compound Effect

Intelligence that builds on itself.

100%: of AI interactions governed — every call through one policy enforcement point, with a full audit trail.
8: must-follow platform standards, each with a named enforcement gate in CI — control coverage mapped to SOC 2, GDPR and HIPAA expectations.
25%: reduction in recurring meeting hours — with higher-quality outcomes in the meetings that remain.

In Practice

What this actually looks like.

3 meetings consolidated into one async update

1
Theme Miner
Input & Translation
Detects the same 3 topics discussed across 5 separate weekly meetings over the past month
2
Meeting Optimizer
Automation & Orchestration
Flags 3 recurring meetings as redundant — proposes consolidation with draft agendas
3
Meeting Attendee Optimizer
Admin Reduction
Identifies 4 participants who attended but never spoke or had relevant agenda items
4
Calendar Optimizer
Admin Reduction
Reschedules consolidated meeting to optimal time slot — updates all calendars automatically
5
Time Block Scheduler
Admin Reduction
Uses freed time to schedule 3× 90-minute deep-work blocks for the team each week

25% fewer recurring meetings — with higher decision quality per meeting that remains.

Stop leaking data. Start compounding intelligence.

See How Executive Teams Use SigmaEra

Runs air-gapped inside your own boundary
Full audit trail on every interaction
100 agents, one control plane

Request Demo

You're making decisions without the intelligence your organization already has.

From "I think so" to "I know, and here is the evidence."

A question you cannot actually answer

The risk that was visible the whole time

You are accountable for the AI too

Your best person resigns

The difference between a tool and an asset

Everything else the review will ask about.

Tenant isolation is enforced by the database, not by application code

Cross-tenant access holds no privileged credential

Beneath the controls, the platform itself.

Protect

Orchestrate

Automate

Compound

Emerge

Intelligence that builds on itself.

What this actually looks like.

3 meetings consolidated into one async update

Stop leaking data. Start compounding intelligence.