Case studies
Deployments in operation
How AEGIS OS is applied in practice: the operating problem, the architecture built against it, and what changed in the way the work runs.
These are anonymised accounts of deployments operated within the AEGIS group or licensed to an operating partner. They describe architecture, workflow and operating changes only. They are not third-party customer references and they contain no performance, savings or return figures.
Real estate acquisitions
Bringing scattered deal flow onto one governed record
An acquisitions operation running inbound and sourced opportunities across inboxes, spreadsheets and individual judgment moved to a single structured pipeline with documented screening criteria.
Starting point
Opportunities arrived from brokers, direct outreach and referrals, and were tracked wherever the person who received them chose to track them. Screening depended on who looked at the deal. Leadership had no reliable view of what was live, who owned it or what the next action was.
Challenges
- No single record of an opportunity
- The same deal could exist in an inbox, a spreadsheet and a note, with different numbers in each place.
- Screening varied by person
- Criteria lived in people's heads, so two similar opportunities could be treated very differently.
- Status collection was manual
- Pipeline reviews began with chasing people for updates rather than reading the current state.
- Documents were unstructured
- Supporting files were shared ad hoc, with no consistent place where the authoritative version lived.
What was built
- Structured intake
- Every opportunity is captured into a defined record with required fields and a named owner at the point of entry.
- Documented screening workflow
- Screening runs against written criteria, with an intelligence role preparing the recommendation and the rationale recorded on the record.
- Stage and ownership model
- Each opportunity sits in a defined stage with an owner and a next action, visible without asking anyone.
- Governed document handling
- Supporting documents are organised and summarised, with human review before any summary is treated as authoritative.
Outcomes
- Pipeline status is read from the system rather than assembled by hand before each review.
- Screening decisions carry a recorded rationale, so a pass or proceed can be explained later.
- Ownership is explicit — every live opportunity has a named person and a next action.
- New team members work from documented criteria instead of learning the filter by osmosis.
- Leadership reviews focus on judgment calls rather than on reconciling versions of the same deal.
Outcomes are described qualitatively. AEGIS OS makes no guarantee of savings, performance or return.
Governance boundaries
- Intelligence roles structure and recommend; proceed and pass decisions are made by a named human owner.
- No role can advance a stage, change terms or reject an opportunity on its own.
Private capital
Running a raise on defined stages instead of individual memory
An investor-facing operation replaced personal tracking of conversations and commitments with one investor record, staged raise process and a review gate on every outbound communication.
Starting point
Investor relationships, conversations and commitments were held across personal inboxes and individual notes. Outstanding documents were chased from memory, and investor-facing material was produced under time pressure with inconsistent review.
Challenges
- Relationship history was fragmented
- What had been said to whom depended on the person who said it and whether they wrote it down.
- Raise progress was hard to see
- There was no shared definition of the stages a commitment moves through, so progress was reported subjectively.
- Communications lacked a consistent review gate
- Investor-facing material was drafted and sent without a repeatable check on accuracy and language.
- Document collection was reactive
- Outstanding items surfaced late, usually when something downstream was already blocked.
What was built
- One investor record
- Investors, conversations and commitments sit on defined records with named owners and full history.
- Staged raise process
- The raise runs through documented stages with visible status and a next action on every relationship.
- Reviewed communications
- Investor-facing material is drafted inside the system and released only after human review.
- Tracked document collection
- Outstanding documents are tracked with an owner and status rather than remembered.
Outcomes
- Relationship history survives staff changes because it lives on the record, not in an inbox.
- Raise progress is described the same way by everyone, using shared stage definitions.
- Every investor-facing communication passes a human review step before release.
- Missing documents are visible early instead of surfacing as a late blocker.
- Follow-up happens on a cadence rather than when someone remembers.
Outcomes are described qualitatively. AEGIS OS makes no guarantee of savings, performance or return.
Governance boundaries
- No intelligence role sends investor communications; drafting is assisted, release is human.
- Nothing in the system constitutes investment advice or an offer, and no return is implied.
Multi-entity operating group
Operating AEGIS OS under a partner's own brand and governance
An operating group licensed AEGIS OS to run its own internal operations, keeping the platform's governance model while configuring workflows, roles and access to its own structure.
Starting point
The organisation wanted a governed intelligence system under its own brand and control, rather than a set of disconnected automations bought team by team. It needed clear boundaries on what the system could act on and who approved what.
Challenges
- Tool sprawl across teams
- Separate teams had adopted separate tools, so no layer of the organisation had a shared operating picture.
- Undefined approval authority
- Where automation existed, it was unclear what it was permitted to do without a person signing off.
- Brand and control requirements
- The system had to operate under the organisation's own identity, access model and internal policy.
What was built
- Licensed platform deployment
- AEGIS OS is deployed under licence and operated by the partner. Licensing grants use of the platform; it does not transfer ownership of AEGIS OS.
- Configured operating model
- Workflows, records and reporting were configured against the organisation's actual structure during the assessment and build stages.
- Explicit governance layer
- Every intelligence role carries a written approval boundary, with named owners and review checkpoints.
- Scoped access control
- Access is granted by role, so people see the records their work requires and no more.
Outcomes
- Teams work from one shared operating record instead of separate tools.
- Approval authority is written down, so what the system may and may not do is unambiguous.
- The deployment runs under the organisation's own brand, access model and policy.
- Changes go through a defined review cadence rather than being made ad hoc.
Outcomes are described qualitatively. AEGIS OS makes no guarantee of savings, performance or return.
Governance boundaries
- A licensed deployment operates AEGIS OS under agreement; it does not own or control the platform.
- Governance standards — defined scope, named owners and review checkpoints — apply to every deployment.
Next step
Map your own operating model
The Architecture Assessment maps how your business runs today, defines the target architecture and produces the roadmap and quote.