One specific workflow
Choose work with a clear trigger, outcome, owner, and business value, then decide how much AI can improve it.
For enterprises
Put AI to work in real operations
Hast FDE works with business, operations, and technical teams. We start with one workflow, connect AI to existing data and systems, prove the result before launch, define what happens when something goes wrong, and keep improving the system after launch.
Explore the FDE practice and communityEngagement principles
One body of evidence
Use real cases, today's baseline, a fixed test set, and user feedback to decide whether the result is good enough.
The enterprise can take over
After delivery, the enterprise can understand the system, manage access, handle common issues, and decide how it evolves.
The relationship
FDE works with the enterprise through production launch
FDEs learn how the business actually operates, then lead solution design, system integration, evaluation, launch, and maintenance. The enterprise owns business decisions and internal coordination; the FDE owns technical delivery. Both are accountable to the same outcome.
Start with the work as it happens
Use a recent case: who started it, which people and systems were involved, where it waited, what completion meant, and what a failure cost.
Check the result at every stage
Agree on acceptance criteria in advance. If quality, speed, human effort, risk, or adoption misses the bar, adjust the scope, fix prerequisites, or stop.
Plan for production from the start
Before writing to a business system, define access, approvals, records, escalation, human takeover, and recovery. Continue operating and improving the system after launch.
What a complete FDE engagement leaves behind
Complete delivery
- A clearly scoped business workflow with acceptance criteria
- Connections to real data, systems, and users
- Test and operating data that explain results, risks, and cost
- Documentation and processes for launch, change, maintenance, and takeover
These alone are incomplete
- An AI strategy deck detached from implementation constraints
- A software vendor building fixed requirements in isolation
- A one-off demo that only works on curated examples
- An external team owning long-term business judgment or production authority
How we communicate
Reconstruct one real job before discussing models or products
The enterprise can begin before writing a complete specification. Business, operations, data, and security owners explain the real workflow; the FDE asks for detail and turns the discussion into records that guide delivery and acceptance.
How we work together
Five stages; review the result before moving on
Timing follows data readiness, system access, integration, security review, and business acceptance. After each stage, both sides agree on the next stage's timing and investment.
- 01
Discover and focus
Enterprise teamAppoint the business owner and engagement lead; provide real cases, the process baseline, failure impact, and priority.
Hast FDEObserve work, interview roles, reconstruct the main path and exceptions, and identify value, constraints, and assumptions.
Joint outputWorkflow brief, current baseline, success measures, key risks, and a recommendation on whether to proceed.
- 02
Solution and boundaries
Enterprise teamCoordinate data, systems, security, procurement, and acceptance owners; confirm resources and approval paths.
Hast FDEDefine architecture, scope and exclusions, human controls, evaluation design, deployment, milestones, and dependencies.
Joint outputSolution brief, responsibility matrix, data-access map, acceptance method, and formal project scope.
- 03
Build and evaluate
Enterprise teamProvide representative cases, sandbox access, domain judgment, and timely feedback, including situations likely to fail.
Hast FDEBuild one complete working path and test quality, speed, cost, and safety in normal and exceptional cases.
Joint outputWorking system, fixed test set, results report, risk register, and production entry conditions.
- 04
Controlled rollout
Enterprise teamComplete user acceptance, security review, and production authorization; name operations and business escalation owners.
Hast FDEStart in shadow mode, then stage by user, traffic, or action risk; prove alerting, audit, rollback, and human takeover.
Joint outputProduction workflow, acceptance record, runbook, training material, and support route.
- 05
Operate and expand
Enterprise teamContinue sharing outcomes, new exceptions, and priorities; participate in operational review and change approval.
Hast FDEMonitor health, resolve problems, update evaluations and documentation, and test whether adjacent workflows are truly reusable.
Joint outputHealth review, improvement backlog, version record, reusable capabilities, and a revalidated expansion plan.
Before the next stage
Review the result together. Continue when it meets the bar; fix prerequisites or narrow the scope when it misses; stop when value or risk no longer makes sense.Enterprise and FDE ownership
Share the outcome; keep professional decisions clear
The enterprise decides business objectives, data use, production launch, and acceptable risk. The FDE owns the technical solution, delivery quality, and ongoing improvement. The Hast platform team owns stable shared capabilities.
Enterprise team
Owns business and production decisions
- Set workflow priority, target measures, and acceptable risk
- Authorize data, systems, identities, and production changes
- Bring real users into evaluation, acceptance, and operations
- Make the final launch, pause, rollback, and expansion decisions
Hast FDE
Owns end-to-end delivery
- Connect problem definition, architecture, implementation, and acceptance
- Expose dependencies, failure modes, and residual risk early
- Build evaluation, audit, alerting, rollback, and operating documentation
- Stay accountable to quality and adoption after launch
Hast platform team
Owns reusable technical foundations
- Provide agents, task execution, connectors, and workspaces
- Provide identity, access, approvals, audit, and runtime governance
- Support complex architecture, deployment, and platform incidents
- Turn recurring field problems into products and engineering standards
After launch
Keep checking the whole workflow after launch
Models, enterprise data, interfaces, permissions, policies, and user behavior all change. Review business outcomes, task quality, integrations, risk, and per-task cost so the system continues to help the business.
Operational reviews cover at least five signal families
Business outcomes
Volume, cycle time, conversion, recovered value, or other process goals—plus real adoption and workarounds.
Task quality
Fixed test cases, online samples, error categories, correction rate, and high-risk mistakes, reviewed separately from the average pass rate.
Tools and systems
API errors, access failures, data delay, queue backlog, dependency changes, and third-party limits.
Risk and human takeover
Privilege violations, sensitive-data exposure, skipped approvals, escalation time, rollback, and whether takeover actually works.
Cost and performance
Per-task model and tool cost, end-to-end latency, waste from retries, and capacity limits, judged alongside business value.
Every material change follows one controlled path
Changing prompts, models, tools, knowledge, permissions, or business rules can change behavior. High-risk workflows should never be tested directly in production.
- 01
Propose the change with expected benefit, affected scope, and rollback condition
- 02
Retest on the fixed test set and add newly discovered failure cases
- 03
Validate systems and permissions in a sandbox or with historical replay
- 04
Run in shadow mode or expose only limited users, traffic, and low-risk actions
- 05
Expand gradually after observing business, quality, safety, and cost signals
- 06
Roll back on anomalies; update versions, runbooks, and training after stability
The operating capability must ultimately live inside the enterprise
Hast Care provides ongoing support while helping the enterprise build day-to-day operating capability. Business operations handle known cases, enterprise engineering understands integrations and health, and FDE/platform teams own deeper issues.
L1 · Enterprise operations
Business operations and enterprise engineering
Handle user questions, business exceptions, basic data corrections, and known procedures; collect runbook context before escalation.L2 · FDE
Hast FDE
Analyze workflow quality, integration, and adoption; update evaluations, designs, controls, and lead incident reviews.L3 · Platform
Hast platform team
Resolve platform reliability, security, runtime, identity, and shared connector problems with platform-level fixes.Enterprise engagement FAQ
The first conversation, timing, deployment, ownership, and when to stop.
What should we prepare for the first consultation?
Bring one workflow, a recent case, one failure or delay, the current systems and data locations, and an outcome you cannot accept. Include someone who can coordinate business, data, and access. The full requirements document can be developed together afterward.
How long does an engagement take?
Timing follows scope, data and access readiness, integration, evaluation samples, security review, and acceptance. A credible stage plan comes after discovery; promising the same number of weeks for every project usually hides customer dependencies and production risk.
Must we deploy privately or replace our current systems?
No. Deployment follows data boundaries, regulation, infrastructure, and operating ownership: cloud, VPC, hybrid, or customer-controlled. Hast usually connects existing models, data platforms, and business systems while adding workflow, access, evaluation, and operations.
Will the enterprise become dependent on the FDE after delivery?
The project leaves architecture decisions, data-access maps, evaluation sets, runbooks, version history, and training. The enterprise retains business and production authority and develops day-to-day operations and routine change capability. Ongoing support reduces risk and improves the system over time.
What signals show that a PoC should stop?
Stop, narrow, or fix prerequisites when critical data cannot be used lawfully, no accountable owner or acceptance method exists, a baseline cannot be established, value is weak, risk is unacceptable, or a mature standard product is more reliable. A timely stop is a responsible delivery outcome.
Start with one testable sentence about the work
Tell us who needs which information, under what trigger, to complete which outcome by when—and what fails most often today. Hast FDE will help assess value, prerequisites, and the next step.