Industries
AI Products & Automation
AI workflow automation company building copilots and automations—grounded in your data, connected to your tools, and designed with safe handoffs.
What We Build
Solutions we deliver
Customer support automation (deflection + handoff)
Internal copilots for teams (policies, SOPs, runbooks)
AI-powered intake forms and triage workflows
Workflow automations across tools (CRM, tickets, calendars)
RAG knowledge bases with citations
Quality monitoring and evaluation harnesses
Admin tools for prompt/data management
Analytics dashboards for outcomes and costs
Features
Common features
RAG pipelines (ingestion, chunking, embeddings, retrieval)
Tool integrations with permissioned actions
Rate limiting and abuse protection
PII-aware patterns (redaction options, access boundaries)
Human handoff with summaries and extracted fields
Evaluation checks for key workflows
Monitoring for failures and drift
Prompt and data versioning for safe updates
Audit-friendly logs for actions and tool calls
Guardrails: refusals, safety policies, and fallback flows
Cost controls and usage reporting
Incremental rollout and A/B validation support
Requirements
Standards and controls to assess
These labels identify requirements that may be relevant to the product; they are not Softment certifications or a compliance guarantee. Exact legal obligations, control scope, and evidence are defined with the client's counsel and, where required, validated by an independent assessor.
Tech Stack
Recommended stack
Timeline
Typical timelines
Discovery
Requirements gathering and architecture design
Build
Development, testing, and iterative feedback
Launch
Deployment, optimization, and handoff
FAQ
Frequently asked questions
We ground responses in your knowledge base (RAG), tighten prompts, add refusal rules, and run evaluation tests on common queries before rollout.
Yes. We integrate with CRMs, helpdesks, and internal APIs. Actions are permissioned and logged so you control what the system can do.
A small set of docs/runbooks plus examples of real conversations or tickets is enough to start. We can expand coverage safely as you validate outcomes.
Most MVPs land in 3–6 weeks depending on integrations and evaluation needs. We ship early with guardrails, then expand capabilities with measured rollouts.
Regional
Delivery considerations for your region
Data and risk discovery (United Kingdom)
Privacy, security, residency, and regulatory requirements differ by workflow. We document the applicable data flows, roles, retention needs, and control owners before recommending an architecture.
The resulting proposal lists the controls and evidence that are actually in scope. It is not a generic compliance, certification, or legal-assurance promise.
- Map data sources, destinations, roles, and sensitive fields
- Record access, retention, logging, and deletion requirements
- Identify required security or procurement evidence before contracting
- Use an NDA or DPA only when the parties mutually execute it
Working model (United Kingdom)
Exact live-overlap hours, response expectations, meeting windows, and escalation contacts are confirmed in the proposal for each engagement.
Written decisions, scoped milestones, and asynchronous updates reduce unnecessary meetings without implying an unagreed service level.
- Proposal-specific overlap and meeting windows
- Named owners for decisions and blockers
- Written scope, assumptions, and change decisions
- Milestone cadence agreed before kickoff
Commercial setup (United Kingdom)
The contracting entity, proposal currency, invoicing cadence, payment terms, intellectual-property terms, and required vendor documents are agreed before work begins.
The Opportunity Sprint can establish the evidence needed to scope a production pilot; it does not pre-commit either party to a rollout.
- Contracting entity and currency confirmed in writing
- Milestones and acceptance criteria defined in the proposal
- Vendor-document requirements identified before signature
- Scope changes require an explicit written decision
Delivery controls (United Kingdom)
Testing, observability, release, security, and handover controls are selected for the actual system risk rather than promised as a generic bundle.
Acceptance measures and production responsibilities are recorded before implementation so both teams know what evidence will support release.
- Risk-based testing and acceptance measures
- Release, rollback, and observability responsibilities
- Security controls tied to the agreed threat model
- Handover artifacts defined in the signed scope
Want to automate support or ops with AI?
Share the workflow and data sources—we’ll propose an implementation plan with guardrails, metrics, and a rollout approach that reduces risk.
Scoped around your requirements. No-pressure consultation.