Reality-first discovery
Workflow and data readiness assessments that kill science-fair projects early.
AI consulting services · Finance & markets
Strategic AI implementation defined by your needs.
We map operational bottlenecks before recommending models or vendors—then ship bespoke agents, integrations, and data contracts that survive procurement and security review.
The sections that follow translate this into production outcomes, core capabilities, rollout milestones, and answers procurement teams ask first.
If the fit is directional but not exact, a 30-minute working session usually resolves it—our engineers will tell you plainly whether the product matches your bottleneck, or whether a different Autowhat system (or composition) is the right answer.
What this means in production
Build paths you can staff
Architecture and milestones sized to your internal owners—not hypothetical infinite capacity.
Value tied to metrics
Success criteria in time saved, risk removed, or revenue protected—not slide counts.
Custom LLM and agent delivery
From retrieval design to evaluation harnesses and production monitoring.
Automation audits
End-to-end maps of decision points, exceptions, and integration debt before you buy software.
How rollout is structured
- 01 · Discovery
Map workflows, stakeholders, and data contracts. Surface risks early instead of hiding them until UAT.
- 02 · Deploy
Ship to production with observability, training artefacts, and rollback plans appropriate to your blast radius.
- 03 · Operate
Run with SLAs, quarterly reviews, and a roadmap tied to measurable operational outcomes.
11+Enterprise deployments
10Production products
99.9%Platform SLA target
What operators validate in week one
- Named integration owners on both sides with weekly checkpoint
- Written acceptance criteria tied to real workflows—not demo scripts
- Security review pack: architecture, subprocessors, DPA, and logging
- Hypercare window with on-call engineering and rollback posture
- Success metrics agreed upfront (time, cost, risk, adoption)
Common questions
Is this services dressed as software?
No. These are productised systems with documented releases, shared core, and customer-specific configuration—not bespoke science projects.
What does onboarding look like?
Onboarding is engineered: checklists, integration templates, and clear acceptance criteria so timelines are predictable.
Where can we deploy?
Managed cloud, customer VPC, hybrid, and on-premise footprints are supported depending on product and regulatory posture.
Continue exploring
Move from evaluation to deployment
Book a working session with our engineers. We map your bottlenecks to live products and tell you plainly what will work in your environment.