The AI tools are the same. The results are not. The difference is how AI is integrated into the operation.
We don't sell hours. We don't sell pilots. We get software live, with contractual service levels, in four weeks, for banks, insurers, legal, energy, healthcare and logistics.
- Four weeks to production
- Two senior engineers embedded
- Deadline and outcome in the contract
Engineering, not consulting. Platform, not staff augmentation.
- ✕Not a body shop with billable hours and allocated squads.
- ✕Not a 200-slide deck with an 18-month plan.
- ✕Not a wrapper around a public LLM API sold as a product.
- ✕Not a generic SaaS that ignores your regulatory context.
Four phases. Four weeks. One production deploy.
Each phase has a clear deliverable, a locked timeline and code that goes live, not to PowerPoint.
Discovery
Technical audit and operational mapping. Bottlenecks, dependencies and regulatory risks, surfaced on one page, not eighty.
Timeframe
Week 1
Delivery
“Target architecture approved with technical and business stakeholders.”
Architecture
Architecture designed against your real constraints: VPC, on your own servers (on-prem), open-source or private models, legacy integration.
Timeframe
Week 2
Delivery
“Documented technical decision, defined service levels, first feature live in a test environment.”
Build
Two senior engineers embedded in your operation, supported by Catech Platform. Monitoring, audit trail and governance by default, not as an add-on.
Timeframe
Weeks 3 to 4
Delivery
“System live with canary deploy and DORA metrics monitored in real time.”
Handoff
Upskilling for your internal team plus monthly continuous support. You own the code, the infrastructure and the decision. CatechLabs stays available.
Timeframe
Ongoing
Delivery
“Autonomous internal team, operational runbook, monthly SLA.”
Everything in one pane: services, agents and audit trail.
Service catalog, AI agents and the governance trail in one place. In orange, the points where AI acts.
Detects the faulty rollout and suggests undoing it before the incident.
Every service carries owner, service level and dependencies, always traceable.
Every agent action is recorded in an immutable, auditable log.
Contractual DORA metrics.
Not a promise. A contract clause.
Deploy Frequency
Lead Time
Change Failure Rate
MTTR
Forward FAQ
01What does Forward actually deliver?
Engineers embedded in your operation writing production code: data pipeline, model, integration and interface, in your environment and your repository. The deliverable is a system running with real users, not an assessment.
02How is this different from AI consulting?
Consulting delivers recommendations and bills hours. Forward delivers software in production and bills per deliverable. Whoever designs the architecture writes the code, and the team stays until the system holds real load.
03What kind of operation is Forward built for?
Operations where failure is expensive and regulators are watching: banking and clearing (core banking, settlement, regulatory risk), insurance and actuarial (pricing, fraud and claims under audit), legal (due diligence and contract portfolios), energy and trading (dispatch and critical time series), healthcare (sensitive data and clinical integrations) and government and defense (sovereign deployment and full auditability).
04How long until the first system is live?
Four weeks. In week 1 you approve the architecture and the acceptance criteria. In week 4 the code is in production with real users. Anything that does not fit becomes the next cycle, not a delayed go-live.
05How does the contract and pricing work?
Fixed-price monthly cycles, with scope and acceptance criteria set at the start of each cycle. We do not bill hours, so our delay never becomes your invoice. You can stop at the end of any cycle and keep what is already running.
06Who does the work?
The founders, with two senior engineers per track. No sales layer, no pitch team that disappears after signing, no juniors learning on your environment.
07Where does the system run, and who controls the data?
On your infrastructure: on-premises, your cloud or a sovereign environment. Data never leaves the perimeter you define, models are private and every access is logged. The architecture is privacy by design and SOC 2 audit ready.
08Do you resell third-party APIs or models?
No. We pick the model by use case, open or proprietary, and the orchestration layer is yours. Switching providers later is a configuration change, not a rewrite.
09Who owns the intellectual property?
What belongs to your business is yours: application code, workflows, data, weights trained on your base and documentation. The Catech base platform stays ours, licensed to you. The boundary is written into the contract, not agreed later.
10What happens after go-live?
You choose: the team leaves with documentation and runbook, or stays on an evolution and on-call cycle. Either way the system runs without us. Vendor lock-in is not a business model here.