01 / Agent Factory
Agent as a process role
We design a participant with a specific work queue, tools, policies and outcome owner — not a universal conversational layer.
Agent Factory passport- 01Signal→
- 02Context→
- 03Proposal→
- 04Action
◆Agentic Automation
AI Agents & Automation
We embed agents and digital twins into real operations — with audit trails and human control.
SPECTR / SERVICESai-automation
Agents as process rolesDocuments and exceptionsDigital twins
Reviewed: July 202601 / Entry pointOperating gap
02 / FormatOwned operating loop
03 / OutcomeSystem in production
◆Three scenarios
From an automated action to a governed role
Autonomy follows action risk and evidence quality, not model capability.
02 / Process & documents
Process and document automation
The agent receives a document or event, extracts data, checks completeness and either continues an allowed path or creates a safe handoff.
NDA-safe case- 01Receive→
- 02Extract→
- 03Validate→
- 04Handoff
03 / Digital Twin
A living process model
A digital twin connects actual events to the operating model so scenarios can be tested before the production loop changes.
Digital Twin passport- 01Model→
- 02Signal→
- 03Scenario→
- 04Decision
01What it is02Who it is for03Typical pain points04What is included05Architecture loop06Example scenario07Deliverables08Timeline & rollout09KPIs & ROI passport
◆01
What it is
We embed agents and digital twins into real operations — with audit trails and human control. We take responsibility for an operating loop, not an isolated feature set.
◆02
Who it is for
For process owners, operations leaders and product, data and IT teams that need one governed operating cycle.
- Business owner
- Operations team
- IT & data
◆03
Typical pain points
Manual handoffs, gaps between systems, opaque exceptions and decisions that cannot be tied to outcomes.
- Agents as process roles
- Documents and exceptions
- Digital twins
◆04
What is included
Discovery, target operating model, architecture, delivery, integrations, observability and governed evolution.
- Discovery
- Solution blueprint
- Production rollout
◆05
Architecture loop
Touchpoints, business systems, data, integrations and the agent layer are connected through explicit contracts.
01 / Customer touchpoints
WebPortalMobile
02 / Business systems
CRMTMS1C / ERP
03 / Data & integrations
APIEvent busOntology
04 / AI agents & decisions
Agent FactoryControl TowerHuman
SPECTR IP LAYER
◆06
Example scenario
The system receives a signal, enriches it with context, proposes the next action and routes higher-risk decisions to a human.
◆07
Deliverables
The outcome is an accepted operating loop with owners, integrations, monitoring and roadmap.
- Operating map
- Production increment
- Runbook & roadmap
◆08
Timeline & rollout
The timeline is fixed after discovery. Rollout progresses from a reference scenario to operational scale with controlled risk.
◆09
KPIs & ROI passport
Success criteria are agreed before delivery. Numbers are published only from a linked confirmed case.
◆FAQ
Delivery questions
How does a AI Agents & Automation engagement begin?
With a focused diagnostic covering the process, roles, systems, data, exceptions and outcome criteria. We then propose a first testable loop instead of a large blind implementation.
How is the outcome measured?
Before delivery, we agree the baseline, target indicator, data source and measurement owner. Metrics are published only after confirmation under the SPECTR “※” rule.
Where does the human remain in the loop?
Financial, legal, high-risk and irreversible decisions remain with an accountable person. Automation includes approval gates, audit trails and safe handoff.
◆Discovery
Map your operating system in 60 minutes
We identify gaps across process, data and systems, then propose a first testable step — without selling AI for its own sake.