AI at Work · Illustrative workflow
Contractor workflow
From incoming call or email to a confirmed next step Across many jobs, calls and emails land in shared lines and inboxes. This illustrative workflow follows each one from arrival to a person's action, keeping what AI prepared separate from what was recorded and what staff did.
AI prepares context A suggested job link and a short request summary.
→ A person takes ownership The right employee returns the call or replies.
→ Evidence closes the loop Staff confirm the agreed next step.
Illustrative work records. Unconfirmed means the evidence still needs checking. Arrival: what came in, about which job A client calls about the office fit-out site visit; the warehouse retrofit client emails about the schedule. AI suggests the job each message belongs to and writes a two-line summary. Staff can correct a wrong job link before routing.
Ownership: one named person per request Each request goes to the person responsible for that job, using routing rules the business chooses. The phone and email systems record that it was routed and to whom. Routing assigns the work; the person decides how to answer.
Follow-through: keep the events separate The record can show a callback attempt, a connected call, a sent reply and a next step staff confirmed. Each is a different event. Anything without a confirmation stays visible as unconfirmed for staff review, not as proof someone was ignored.
Decide which job communications need a confirmed next step, who owns each job's calls and emails, and how often someone reviews the unconfirmed list.
How does a call or email reach the right person? ↗ How do staff see what is still unconfirmed? ↗ AI at Work · Illustrative workflow
Contractor: routing
Linking each call and email to its job and owner Routing works only when the job link is right. Here AI proposes the link and summary, the business's own rules pick the owner, and staff correct anything that looks wrong.
Incoming message A caller or sender describes a job question.
AI suggests context Likely job, intent and relevant information. Uncertain matches are flagged.
Business rules route The assigned person receives a brief and checks the match.
AI suggests the context. Your routing rules and staff decide where the work goes. Context AI can use AI reads what the caller or sender said and compares it with the job list, contact names and site addresses the business provides. It proposes the likely job, such as the warehouse retrofit, and flags messages it cannot place.
Rules the business sets The business sets who handles each job and where general questions go. Routing rules use the confirmed context to send requests to that owner; uncertain matches stay available for staff to check. When a job changes hands, staff update its assigned owner.
A brief the owner can act on The responsible person receives a short brief: who made contact, which job, what they asked, and anything already promised. They return the call or reply themselves, and can mark a wrong job link so the record is corrected.
Choose the job list and contacts AI may reference, write the owner-per-job rules, and name who corrects mislinked messages before the workflow goes live.
AI at Work · Illustrative workflow
Contractor: follow-through
Telling a callback attempt from a confirmed next step A logged callback attempt shows someone tried. Whether they reached the client and agreed what happens next is a separate question. This view keeps those events apart so staff check the right thing.
Attempted A callback was placed.
Connected Someone answered the call.
Replied An email was sent.
Confirmed Staff recorded the agreed next step.
Distinct event labels, not a score. An email and a phone call can follow different paths. Four distinct events Attempted: a call was placed. Connected: someone answered. Replied: an email was sent. Confirmed: staff recorded the agreed next step, such as a site visit time. These are illustrative status labels for this example, not new performance metrics.
Unconfirmed is a question to answer A missing record can mean the call happened on a mobile phone, the client replied elsewhere, or the step was simply not logged. Unconfirmed items appear for staff review so a person can find out and close the gap.
Staff check AI summaries AI may summarize a connected call or reply and suggest whether a next step was agreed. Summaries and transcripts can miss details, so staff confirm against the actual conversation before marking a request complete.
Decide what evidence marks a request confirmed, where staff record next steps agreed outside the system, and who follows up on unconfirmed items.
AI at Work · Illustrative workflow
Admissions workflow
A pre-screened call, a queue, a prepared representative In this illustrative administrative workflow, AI handles the first routing questions, the caller waits in a queue, and a representative accepts the transfer with a brief. Human staff own every judgment and next step from there.
If no representative accepts, the business’s chosen fallback gives the caller a clear next step. AI asks the approved routing questions The business approves a short set of administrative questions: why the person is calling, which service, which location, which team. AI asks them, records the answers, and marks anything unclear rather than guessing.
The caller holds until a representative picks up AI prepares the routing brief and the phone system places the caller in the matching queue. When a representative accepts the transfer, they begin with that context, confirm the details and continue the conversation.
A clear fallback when no one is free If no representative accepts within the wait the business chooses, the call moves to the chosen next step: a scheduled callback, a message to the team, or another queue. The caller hears what will happen next.
Approve the exact routing questions, the queues they feed, how long a caller waits before the fallback, and which fallback your team will reliably honor.
What does the pre-screen ask, and what does it hand over? ↗ How does call review help the team afterward? ↗ AI at Work · Illustrative workflow
Admissions: pre-screen and handoff
From first question to accepted transfer The pre-screen gathers only what is needed to reach the right representative. Its boundary is set during setup: administrative routing information, approved in advance, with all judgment left to staff.
Routing questions Purpose · service · location · team. Unclear answers stay marked.
Context handed over A brief is ready for the representative to confirm.
Human acceptance The transfer is accepted. Staff take over the conversation and decisions.
Administrative routing prepares the conversation. The team’s staff own the judgment. What the brief contains The representative sees the stated purpose of the call, the service and location requested, the queue chosen, and any answers AI marked as unclear. The brief is a starting point the representative confirms with the caller, not a settled record.
Transfer accepted, not just offered The phone system records when the call was offered to a representative and when one accepted it. A ring or dial attempt is not yet a handoff; the handoff happens when a person is on the line with the brief.
The representative leads from here Once connected, the representative confirms details, answers questions, and decides the next step under the team's own procedures. Any question about care, eligibility or admission belongs to the staff responsible for it, outside the AI's routing role.
Write the approved question set and its limits, decide which answers route to which queue, and name who updates the questions when services change.
AI at Work · Illustrative workflow
Admissions: call review
Reviewing calls for handoffs, commitments and coaching After calls end, AI can point reviewers to moments worth a look. It suggests; a supervisor listens, decides what happened, and chooses any coaching or follow-up.
AI flags a moment A possible missing handoff, unclear promise or coaching need.
→ Supervisor checks Review the actual recording, notes and communication events.
→ People act Confirm follow-up, correct the record or coach the representative.
A flag is a prompt for human review. It is not an automatic verdict about a representative. Handoffs that may not have happened Review can flag calls where the transfer was offered but not accepted, the caller left the queue, or the fallback step does not appear in the record. Each flag is a prompt for a person to check, not a finding.
Commitments made on the call If a representative promised a callback, information or a next appointment, the review lists that commitment so staff can confirm it was kept. Transcripts can miss words, so reviewers check the recording or notes before acting.
Coaching worth a conversation Patterns such as rushed handoffs or unclear next steps can be surfaced for a supervisor. The supervisor decides whether coaching is needed and how to give it; the review itself does not score or judge a representative.
Choose which call moments reviewers should see, who reviews them, how representatives receive feedback, and who may access recordings and transcripts.
AI at Work · Illustrative workflow
Estimates workflow (proposed)
From a buyer's question to an approved job handoff A proposed illustration rather than a delivered case. A commercial service firm has estimates out; buyer questions arrive by email or call, and approved work must reach the people who deliver it.
Proposed illustrative workflow. This is not a claimed BH Technology deployment or client result. The question finds its estimate A buyer asks whether the quoted scope includes after-hours work. AI links the message to the sent estimate, its scope lines and earlier messages, and prepares a brief naming the responsible person.
A person answers and confirms the step The responsible person answers the buyer and records the buyer's next step: reviewing a revision, scheduling a walk-through, or approving. AI may draft wording; staff decide and send anything about price, scope or commitments.
Approval becomes a handoff When the buyer approves, the approved scope, agreed dates and customer commitments go together to the delivery owner. Delivery starts from what the customer accepted instead of piecing it together from inbox threads.
Decide where estimates and scope live, who owns each open estimate, what counts as approval, and who receives the handoff in delivery.
How are open buyer questions answered and tracked? ↗ What does the delivery owner receive after approval? ↗ AI at Work · Illustrative workflow
Estimates: follow-up
Keeping open buyer questions answered and owned Between sending an estimate and approval, questions can sit in one person's inbox. In this proposed workflow, each open question has a named owner and a visible status until the buyer's next step is confirmed.
Buyer email · Commercial fit-out estimate Does this scope include after-hours work? AI links the question Relevant estimate version and scope are brought together.
→ Staff decide and send A person confirms the answer or revises the estimate.
→ Buyer’s step is recorded A sent reply and a confirmed decision are separate events.
An illustrative buyer question. AI does not change the price, scope or customer commitment on its own. Linking the question to scope AI matches the buyer's message to the right estimate and the scope lines it concerns, so the responsible person sees the question beside what was quoted. Staff correct the link if AI attached it to the wrong estimate.
Draft prepared, decision made by staff AI can draft a reply from the estimate's own wording. The responsible person checks it, changes anything about price, scope or timing themselves, and sends it. The estimate itself changes only when staff revise it.
Open until the buyer's step is known The question stays open until staff record what the buyer will do next. A sent reply shows the business answered; the buyer's decision is a separate event that staff confirm directly with the buyer.
Decide who owns questions on each estimate, which approved wording AI may reuse in drafts, and when an open estimate gets a personal check-in.
AI at Work · Illustrative workflow
Estimates: job handoff
Carrying the approved scope into delivery An approval can arrive as a signed estimate, an email reply or a call. In this proposed workflow, staff confirm the approval and send one handoff to the delivery owner.
Approved version The exact estimate version, scope and agreed changes.
Customer commitments Dates, site access, open questions and the person who agreed them.
Delivery accepts The next owner checks the packet and raises any unresolved questions.
Sending a packet and the next owner accepting it are separate steps. Confirming what was approved Staff confirm which estimate version the buyer approved and any changes agreed along the way. AI can gather the related messages and highlight differences from the original quote; a person decides which version is final.
What the handoff carries The delivery owner receives the approved scope, agreed dates, site or access details, open questions and anything promised to the customer. The handoff names who agreed the work, in case delivery needs more context.
Accepted by the next owner The handoff is complete when the delivery owner accepts it, not when it is sent. Questions they raise go back to the person who agreed the scope, and are settled before the work is scheduled.
Decide what counts as approval, which details every handoff must include, who accepts it in delivery, and who answers their scope questions.
AI at Work · Illustrative workflow
Business value
From confirmed follow-through to money, after full cost The three workflows produce visibility first. Whether that becomes financial value depends on what the business can show happened next, compared with what the workflow cost during the same period.
A possible path to financial value, not a measured result or ROI forecast. Service benefits can matter before their money effect is known. Start with confirmed follow-through Look for evidence that an inquiry reached an agreed next step: a callback led to a site visit, a representative took over a prepared call, or approved scope reached delivery. Then check what actually followed from it.
Then look for money, separately Ask whether that follow-through led to additional delivered, profitable work or to spending the business actually avoided. Less chasing and better service are real benefits; keep them in their own column until a financial effect is shown.
Compare benefit and cost in one period Set the benefit beside every cost of the workflow for the same months. A before-and-after change can suggest an effect, but other changes in that period, such as seasonality or staffing, need checking before the workflow gets credit.
Choose one workflow and period, agree what evidence of follow-through and money would count, and list known and unknown costs before claiming any return.
What costs belong in the same-period comparison? ↗ AI at Work · Illustrative workflow
Value: full cost
Every cost of the workflow, in the same period A fair comparison counts what it took to set up and run the workflow, beyond software. Costs not yet known stay listed as unknown so the comparison shows them.
Setup Map the work and data Connect communication systems Set rules and approved questions Adoption Staff training and practice Management attention Adjustment while teams learn Running Usage and infrastructure Human review and exceptions Corrections and upkeep Use one comparison period, count each effect once, and keep unknown costs visible. Setup and adoption Mapping the work, preparing job lists and estimate data, connecting phone and email systems, writing routing rules and approved questions, training staff, and the management attention needed while people adopt the new way of working.
Running and upkeep Model usage, software and infrastructure, human review of flags and summaries, handling exceptions, correcting wrong links or briefs, and updating rules and questions as jobs, services and staff change. These continue every month after launch.
Counting fairly Released time from salaried staff is capacity. It can support additional delivered profitable work or spending genuinely avoided; it does not remove wages by itself. Count each benefit once, and keep earlier payment separate from extra profit.
List each cost with its owner and period, mark the ones you cannot yet estimate, and revisit the comparison once real records exist.