Baseline first
We measure before we build.
A baseline is set before implementation, so your team can tell measured improvement from expectation.
Why SolvTech System
Four commitments we put in writing.
Most AI projects stall between the demo and daily use. We start with a business problem, examine the workflow and data behind it, and choose an approach proportionate to the value and risk involved.
Build, buy or configure
Custom code is the last option.
We check what your existing licenses already do, plus data sensitivity, integration limits and running costs.
Human accountability
People stay in charge of consequential calls.
We define where AI can assist, where it may act and where it must hand off to a qualified person.
You own the result
Handover is part of the plan.
Code, data, configuration and documentation ownership is agreed up front, with training and a route for maintenance.
We count completed business tasks, exception rates and review effort. We do not count generated responses as success.THE SOLVTECH SYSTEM MEASURE
Transformation pathways
Where is your business starting from?
Pick the situation closest to yours. Each pathway shows our approach, the outcome to expect, and the services that usually come first.
Services
Nine services, one accountable partner.
Business analysis, solution design, implementation and adoption planning under one roof. Open any service to see what your team receives.
Assistants, agents & automation
Autonomy set by consequence.
Assistants help people understand information and prepare work. Agents use tools to complete bounded tasks. We set the level of autonomy by the cost of a wrong action and the reliability of the workflow underneath.
LOW AUTONOMYCONTROLS REQUIRED
Illustrative use
Control approach
Agents stop when information is missing.Ambiguous work routes to a person.
Agents stop when permissions fall short.No quiet escalation of access.
Sensitive actions need explicit controls.A prompt alone is never the safeguard.
By function & industry
See what AI could do in your corner of the business.
Starting points for discovery. The right scope depends on your workflow, your data, your permissions and the people responsible for the outcome.
Implementation method
Six phases. Six gates. No skipping.
Evidence decides each step. A small integration can move quickly; a migration or a consequential workflow gets more validation. Either way, the gate tells you when it is safe to proceed.
Validation covers the whole workflow
Functional behavior, permissions, data reconciliation, failure handling, response quality and performance, including difficult and adversarial cases.
You always see where things stand
A working backlog, decision log, risk register and regular demonstrations. Changed assumptions are raised early.
Schedules you can trust
Timelines are confirmed after discovery establishes access, data and integration readiness, not before.
ROI & success measurement
Run the numbers the way we will.
We agree the baseline, measurement window, data sources and accountable owner before rollout. Move the sliders to see how a first-year ROI is calculated, operating costs and partial redeployment included.
Illustrative first-year net ROI
20%
Hours of capacity released
Capacity value
Recognized benefit
First-year cost (build + run)
First-year net benefit
Net annual benefit, year two onward
These assumptions are examples, not forecasts. Released capacity is not automatically a cash saving. A full model also counts licenses, infrastructure, model usage, support, human review, training and internal effort, and never counts the same benefit twice.
| Outcome | Example metric | How we measure it |
|---|---|---|
| Efficiency | Minutes per completed case; cost per task | Compare equivalent task samples before and after rollout |
| Service quality | Resolution rate; rework; customer satisfaction | Track quality alongside speed, segmented by case type |
| Growth | Qualified leads; conversion; incremental gross profit | Comparison groups, or adjustment for other changes |
| Decision quality | Forecast error; stockouts; exception detection | Backtest against an appropriate baseline |
| Adoption | Eligible users active; accepted outputs; proficiency | Usage records combined with task-level feedback |
| Control & reliability | Unauthorized actions; incidents; escalation quality | Review of logs, exceptions and recovery performance |
A new firm, built differently
No borrowed logos. Just a method you can check.
SolvTech System is a new practice, so we won't show you a wall of client logos or a polished case study. We show you how we work, and we put the evidence for your project in writing before you decide to scale it. A pilot counts as a success when it gives you a sound investment decision, even if that decision is to stop.
A named sponsor and process ownerEvery engagement has an agreed definition of success.
Scope, assumptions and acceptance criteria up frontRecorded in a statement of work before work begins.
Costs called out explicitlyThird-party licenses, infrastructure and model usage are listed, never buried.
Scale, revise, pause or retireA value review decides what happens after the pilot.
An exit plan from day oneDocumentation, configuration and knowledge transfer are agreed in advance.
Engagement models
Commit as much as the evidence supports.
Scope, responsibilities and acceptance criteria are defined before work begins. Commercial terms then follow the uncertainty and delivery needs of the project.
Commercial clarity
Fees are scoped individually. Pricing depends on workflow complexity, number of integrations, data preparation, security needs, testing depth, deployment environment and support coverage. Material scope changes go through a change request that shows the impact on cost and timing.
Shared responsibilities
Your team provides a sponsor, subject matter experts, authorized access, representative data and timely decisions. We provide the agreed delivery services and the evidence. Contracts cover intellectual property, confidentiality, acceptance, change control and handover.
Future-ready capabilities
Ready for what's next, when it's ready for you.
We favor adaptable foundations and measured experiments over early commitment to an unproven operating model. Each capability below is adopted only when its readiness condition is met.
Start your transformation
Let's find your next practical AI investment.
Begin with one business priority and an honest picture of your current systems. The first output is a problem statement, a prioritized opportunity shortlist and a recommended next engagement.
Your top business prioritiesConnects the project to an outcome leadership will support.
The process and people involvedIdentifies the workflow owner, affected users and review needs.
Your main applications and data sourcesLets us assess integration options, access and data readiness.
Current performance and pain pointsSets a baseline and a credible improvement target.
Constraints and preferred timingShapes a realistic scope around budget, privacy and capacity.