Services
From one proven slice of value to an agentic enterprise.
Four stages, in the order most utilities and financial institutions need them. Start at the one that matches where you are. Every stage is delivered on Sorgi, so nothing is rebuilt when you move to the next.
Stage 1 · Process mapping & value
Design & Prototype.
1 to 4 weeks
We map the value chain, find where time and money are actually lost, and stand up a working prototype of the highest-value use case on your own data.
Start here when
Pilots with nothing to show. A board asking for an AI plan. A vendor waiting for a yes.
On Sorgi · Discovery workspace
Sorgi is deployed in your cloud from week one. The prototype runs against real data without a single record leaving your environment, so what you approve is what ships.
What we do
- Map the value chain and identify the highest-ROI opportunities
- Score every opportunity on feasibility and value into a prioritized backlog
- Assess technical and data readiness, with recommendations
- Build the ROI business case for the top 3–5 use cases
- Decide, step by step, where rules, deterministic tools, applied AI or generative AI fit best
- Prototype the end-state on Sorgi, connected to your data in place
You leave with
- A ranked backlog your finance team accepts
- A working prototype, not a slide
- A Stage 2 proposal, contract-ready
What it looks like
Utilities
Map distribution engineering from request to energization and find the steps where engineers wait on lookups, not judgement.
Financial Services
Map a KYC refresh or trade finance check end to end and score which steps need rules, which need a model, and which need a person.
Fixed fee, agreed before we start.
Start at Stage 1Stage 2 · Individual productivity
Build Agents.
2 to 6 weeks
One high-value task automated end to end, combining rules, deterministic tools and AI as the task needs, with a person approving the work where it matters.
Start here when
One task everyone agrees is slow, repetitive and costly. A prototype ready to go live.
On Sorgi · Production runtime
The automation runs on Sorgi with rule and validation steps, Vault-managed secrets, OAuth access, hard guardrails and a full audit trail. Nothing is rebuilt to go from prototype to production.
What we do
- Automate one high-value task with an agent, rules and tools, on your data and systems
- Encode the business rules and validation checks every output must pass
- Design human-in-the-loop checkpoints with the people who approve the work
- Apply guardrails for PII, account data and restricted content
- Measure from week one against the baseline set in Stage 1
You leave with
- One automation live in production, used by the people it was built for
- The number that moved
- A repeatable pattern your team can build on
What it looks like
Utilities
A voice assistant that answers distribution engineers from the digital twin and standards, citing every source.
Financial Services
An agent that classifies every transaction and routes only the low-confidence ones to an analyst.
Fixed scope, fixed price, defined outcome before we start.
Start at Stage 2Stage 3 · Team-wide productivity
Develop Agentic Workflows.
4 to 16 weeks
Data and agentic orchestration across a full business workflow: pipelines, rules, deterministic tools and agents working together, with human approvals at the steps that carry risk.
Start here when
Individual tasks are automated, but the data and the process around them are still manual.
On Sorgi · Workflow orchestration
Sorgi coordinates agents, rule and validation steps, deterministic tool steps and data pipelines across your existing systems through thousands of MCP tools, and pauses for your experts wherever a decision needs a human.
What we do
- Orchestrate data pipelines, rule checks, deterministic tools and agents across a complete workflow
- Connect the systems the workflow touches through governed integrations
- Place human approvals where regulation, safety or money require them
- Run, monitor and improve the workflow as volumes and rules change
You leave with
- A whole team's workflow running end to end
- Automation and agents deployed across your value chain
- An operating model with named owners
What it looks like
Utilities
Single-line diagram in, preliminary power flow study out: AI reads the diagram, deterministic tools build and simulate the case, rules flag violations, a planning engineer approves.
Financial Services
Trade finance packages checked document against document, with a checker releasing every decision.
Defined scope or ongoing partnership.
Start at Stage 3Stage 4 · Company-wide transformation
Deploy Agentic Platforms.
Multi-year
Multiple workflows and agent teams on one connected platform: an automation and agent factory your organization owns and runs.
Start here when
Several teams want automation and agents. You need them reusable, governed and on one platform.
On Sorgi · Enterprise AI operating system
Sorgi becomes the shared platform: bring-your-own-cloud on AWS, Azure or GCP, 10+ model providers, central rules and guardrails, and every step visible and auditable.
What we do
- Run grid, customer, risk and compliance workflows in parallel on one platform
- Stand up a reusable library of rules, tools, agents, connectors and policies
- Govern models, access and guardrails centrally across business units
- Embed AI-first ways of working across the organization
You leave with
- An agentic-enabled organization
- Top-line and bottom-line value, measured
- A platform and a team that keep building
What it looks like
Utilities
Grid planning, interconnection, asset management and regulatory filings running as connected workflows.
Financial Services
Onboarding, payments operations and compliance monitoring sharing one governed platform.
Multi-year partnership.
Start at Stage 4Expanded offerings
Around every stage: strategy, data, operations and adoption.
Data Automation
Pipelines your decisions can rely on
- Data profiled and assessed before deployment begins
- Automated ingestion, transformation and reconciliation across your systems
- Validation rules that stop bad data before it reaches a decision
- Ontologies structured so automation reasons over your business, not a generic one
Strategy
Value mapping & assessment
- Stakeholder alignment on where AI creates real value
- Assessment of people, process, technology and change readiness
- A roadmap from single tasks to workflows to platform
- Priorities set by ROI, feasibility and process gaps
- The first draft of your change management plan
Operations
We run what we ship
- We run and monitor your automations and agents, so your team stays focused
- Context drift caught before it reaches output
- Outputs stay accurate long after deployment, with regression suites in SorgiQ
- Enterprise-grade risk, compliance and auditability built in
Adoption
Change management
- AI impact tied to clear, realized business value
- Behavior made visible: why it acted, what it used, which rule or model decided
- Human-in-the-loop checkpoints where they matter most
- Processes redesigned for AI-first execution
- Adoption driven through pilots, then embedded ways of working
We support you at any point of your journey
Delivery pod
The people who scope it are the people who ship it.
Every engagement is staffed by a Dviz pod. As agents take on more of the work, the pod's job shifts from building to supervising.
| Role | Agents | Workflows | Platform |
|---|---|---|---|
Engagement Lead ×1–2 | Shapes scope, manages delivery, builds trust | Weekly value reviews and expansion discovery | Executive relationship and next-stage roadmap |
Solutions Architect ×1–2 | Designs the first automation and workflow around the use case | Turns field learning into a reusable backlog | Architecture governance across business units |
Field Deployment Engineer ×3–6 | Builds and configures automations and agents end to end | Operates workflows and handles exceptions | Supervises automations and manages edge cases only |
Data & Integration Engineer ×1–3 | Maps workflows, connects systems, structures the ontology | On demand for new integrations | Minimal: standard Sorgi connectors handle the rest |
How we engage
The terms are clear before the work starts.
Execution over theory
We build and deploy production-ready agents with you. Every stage ends with something running.
Fixed before we start
Scope, price and the outcome we're measured on are agreed up front, in writing.
People × technology
Technology means nothing without adoption. Change management is part of the work, not an add-on.
Diagnostic
Where are you on the journey?
You're saying
“We've prioritized a few specific use cases.”
Where to start
Start with Stage 2. Pick the highest-value use case and we put one automation into production in 2 to 6 weeks, fixed scope and fixed price.
Stage 2: Build Agents · 2 to 6 weeksBring us the problem as it is.
A backlog nobody can clear, a pilot that never left the lab, a process that only three people understand. Tell us what it is, and we'll tell you honestly whether AI is the answer.